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          <![CDATA[ How a $5B Insurance Provider Uses LLMs for Risk Underwriting ]]>
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          <![CDATA[ A Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application ]]>
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          <![CDATA[ MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering ]]>
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          <![CDATA[ Assessing Prompt Injection Risks in 200+ Custom GPTs ]]>
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          <![CDATA[ Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling ]]>
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          <![CDATA[ RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval ]]>
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          <![CDATA[ Prompt Injection: Different Attacks and Defensive Techniques ]]>
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          <![CDATA[ Evaluating LLM Chatbot Conversations with Athina AI ]]>
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          <![CDATA[ Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering ]]>
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        <pubDate>2024-04-22T00:00:00.000Z</pubDate>
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          <![CDATA[ Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts ]]>
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        <pubDate>2024-04-19T00:00:00.000Z</pubDate>
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          <![CDATA[ CYBERSECEVAL 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models ]]>
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        <pubDate>2024-04-18T00:00:00.000Z</pubDate>
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          <![CDATA[ RAGAR, Your Falsehood RADAR: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models ]]>
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        <pubDate>2024-04-18T00:00:00.000Z</pubDate>
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          <![CDATA[ Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences ]]>
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        <pubDate>2024-04-18T00:00:00.000Z</pubDate>
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          <![CDATA[ How to Evaluate AI Chats Using Conversation Coherence Evaluator ]]>
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        <pubDate>2024-04-17T00:00:00.000Z</pubDate>
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          <![CDATA[ WizardLM: Empowering Large Language Models to Follow Complex Instructions ]]>
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        <pubDate>2024-04-17T00:00:00.000Z</pubDate>
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          <![CDATA[ How to Use a Custom Grading Criteria to Evaluate LLM Responses (LLM-as-a-Judge) ]]>
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        <pubDate>2024-04-17T00:00:00.000Z</pubDate>
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          <![CDATA[ On the Empirical Complexity of Reasoning and Planning in LLMs ]]>
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        <pubDate>2024-04-17T00:00:00.000Z</pubDate>
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          <![CDATA[ From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings ]]>
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        <pubDate>2024-04-16T00:00:00.000Z</pubDate>
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          <![CDATA[ Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification ]]>
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          <![CDATA[ The EVER (Real-Time Verification and Rectification) framework is designed to dynamically mitigate hallucinations during text generation by ensuring the accuracy and trustworthiness of each sentence before proceeding. ]]>
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        <pubDate>2024-04-15T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt Stealing Attacks Against Text-to-Image Generation Models ]]>
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        <pubDate>2024-04-15T00:00:00.000Z</pubDate>
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          <![CDATA[ Universal and Transferable Adversarial Attacks on Aligned Language Models ]]>
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        <pubDate>2024-04-14T00:00:00.000Z</pubDate>
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          <![CDATA[ Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models ]]>
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          <![CDATA[  ]]>
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        <pubDate>2024-04-12T00:00:00.000Z</pubDate>
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          <![CDATA[ Direct Preference Optimization: Your Language Model is Secretly a Reward Model ]]>
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        <![CDATA[ Fine Tuning ]]>
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        <pubDate>2024-04-11T00:00:00.000Z</pubDate>
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          <![CDATA[ Analyzing Toxicity in Deep Conversations: A Reddit Case Study ]]>
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        <pubDate>2024-04-11T00:00:00.000Z</pubDate>
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          <![CDATA[ RoT: Enhancing Large Language Models with Reflection on Search Trees ]]>
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        <pubDate>2024-04-11T00:00:00.000Z</pubDate>
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          <![CDATA[ AI Safety: Necessary, but insufficient and possibly problematic ]]>
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        <pubDate>2024-04-10T00:00:00.000Z</pubDate>
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          <![CDATA[ LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding ]]>
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        <pubDate>2024-04-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Many-Shot Jailbreaking (Anthropic Research) ]]>
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        <pubDate>2024-04-06T00:00:00.000Z</pubDate>
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          <![CDATA[ MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems ]]>
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        <pubDate>2024-04-06T00:00:00.000Z</pubDate>
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          <![CDATA[ Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models ]]>
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          <![CDATA[ Demystifying Chains, Trees, and Graphs of Thoughts ]]>
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        <pubDate>2024-04-05T00:00:00.000Z</pubDate>
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          <![CDATA[ Mistral 7B: Foundation Model Research Paper Summary ]]>
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        <pubDate>2024-04-04T00:00:00.000Z</pubDate>
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          <![CDATA[ TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ]]>
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        <pubDate>2024-04-02T00:00:00.000Z</pubDate>
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          <![CDATA[ TopicGPT: A Prompt-based Topic Modeling Framework ]]>
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        <pubDate>2024-04-01T00:00:00.000Z</pubDate>
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          <![CDATA[ All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification ]]>
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        <pubDate>2024-03-31T00:00:00.000Z</pubDate>
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          <![CDATA[ IterAlign: Iterative Constitutional Alignment of Large Language Models ]]>
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        <pubDate>2024-03-30T00:00:00.000Z</pubDate>
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          <![CDATA[ Overview of Prompt Engineering Techniques ]]>
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          <![CDATA[ Prompt Engineering is an emerging field and the techniques are evolving every day. This article breaks down prompt engineering into a list of techniques. ]]>
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        <pubDate>2024-03-29T00:00:00.000Z</pubDate>
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          <![CDATA[ Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation ]]>
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        <pubDate>2024-03-28T00:00:00.000Z</pubDate>
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          <![CDATA[ SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching ]]>
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        <pubDate>2024-03-26T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt Engineering for Healthcare: Methodologies and Applications ]]>
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        <pubDate>2024-03-23T00:00:00.000Z</pubDate>
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          <![CDATA[ LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification ]]>
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        <![CDATA[ Evaluation ]]>
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        <pubDate>2024-03-23T00:00:00.000Z</pubDate>
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          <![CDATA[ BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP ]]>
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        <![CDATA[ Fine Tuning ]]>
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        <pubDate>2024-03-22T00:00:00.000Z</pubDate>
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          <![CDATA[ Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration ]]>
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          <![CDATA[ SAMAug: Point Prompt Augmentation for Segment Anything Model ]]>
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        <pubDate>2024-03-19T00:00:00.000Z</pubDate>
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          <![CDATA[ LLM Guided Evolution -- The Automation of Models Advancing Models ]]>
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        <pubDate>2024-03-18T00:00:00.000Z</pubDate>
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          <![CDATA[ HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models ]]>
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          <![CDATA[ DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ]]>
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        <![CDATA[ Safety ]]>
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          <![CDATA[ AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ]]>
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        <![CDATA[ Hallucinations ]]>
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        <pubDate>2024-03-16T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Plum: Prompt Learning using Metaheuristic ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/plum-prompt-learning-using-metaheuristic</link>
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        <category>
        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Prompt Engineering ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-14T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ The Impact of Prompts on Zero-Shot Detection of AI-Generated Text ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/the-impact-of-prompts-on-zero-shot-detection-of-ai-generated-text</link>
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        <![CDATA[ Research Paper ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-03-14T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ How to evaluate your Llama Index query engine using Ragas evals + Athina AI ]]>
        </title>
        <description>
          <![CDATA[ If you're using Llama Index to work with advanced retrieval strategies, you're going to need a great evaluation setup.
Here's how you can use Athina's SDK to run Ragas evals on your Llama Index RAG pipeline. ]]>
        </description>
        <link>https://blog.athina.ai/how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai</link>
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        <![CDATA[ Evaluation ]]>
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        <![CDATA[ Athina ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Shiv Sakhuja ]]>
        </dc:creator>
        
        <pubDate>2024-03-13T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Exploring Prompt Engineering Practices in the Enterprise ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/exploring-prompt-engineering-practices-in-the-enterprise</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Prompt Engineering ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-13T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model</link>
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        <category>
        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Fine Tuning ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-13T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/jailbreaking-chatgpt-via-prompt-engineering-an-empirical-study</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Evaluation ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-10T00:00:00.000Z</pubDate>
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        <title>
          <![CDATA[ Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/benchmarking-and-defending-against-indirect-prompt-injection-attacks-on-large-language-models</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Safety ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-03-08T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Exploring LLM-based Agents for Root Cause Analysis ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/exploring-llm-based-agents-for-root-cause-analysis</link>
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        <![CDATA[ Research Paper ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-03-07T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/query-dependent-prompt-evaluation-and-optimization-with-offline-inverse-rl</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Reasoning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-03-07T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Detect LLM Hallucinations in CI / CD: Evaluate your RAG pipeline using GitHub Actions + Athina / Ragas ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas</link>
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        <![CDATA[ Safety ]]>
      </category><category>
        <![CDATA[ Athina ]]>
      </category><category>
        <![CDATA[ Evaluation ]]>
      </category>  
          
        
        <pubDate>2024-03-05T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/chatgpt4pcg-2-competition-prompt-engineering-for-science-birds-level-generation</link>
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        <![CDATA[ Research Paper ]]>
      </category><category>
        <![CDATA[ Prompt Engineering ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-05T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Soft-prompt Tuning for Large Language Models to Evaluate Bias ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/soft-prompt-tuning-for-large-language-models-to-evaluate-bias</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Evaluation ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-05T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/llm-grounded-diffusion-enhancing-prompt-understanding-of-text-to-image-diffusion-models-with-large-language-models</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Reasoning ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-04T00:00:00.000Z</pubDate>
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      </item>
      
      <item>
        <title>
          <![CDATA[ Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/ignore-this-title-and-hackaprompt-exposing-systemic-vulnerabilities-of-llms-through-a-global-scale-prompt-hacking-competition</link>
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        <category>
        <![CDATA[ Research Paper ]]>
      </category><category>
        <![CDATA[ Dataset Generation ]]>
      </category>  
          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-03T00:00:00.000Z</pubDate>
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      </item>
      
      <item>
        <title>
          <![CDATA[ Inferring Properties of Graph Neural Networks ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/inferring-properties-of-graph-neural-networks</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Reasoning ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-03-02T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Prompt Injection attack against LLM-integrated Applications ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/prompt-injection-attack-against-llm-integrated-applications</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Safety ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-03-02T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/self-taught-optimizer-stop-recursively-self-improving-code-generation</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Reasoning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-03-01T00:00:00.000Z</pubDate>
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      </item>
      
      <item>
        <title>
          <![CDATA[ Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/connecting-large-language-models-with-evolutionary-algorithms-yields-powerful-prompt-optimizers</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Prompt Engineering ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
        </dc:creator>
        
        <pubDate>2024-02-27T00:00:00.000Z</pubDate>
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      <item>
        <title>
          <![CDATA[ Consistency-guided Prompt Learning for Vision-Language Models ]]>
        </title>
        <description>
          <![CDATA[  ]]>
        </description>
        <link>https://blog.athina.ai/consistency-guided-prompt-learning-for-vision-language-models</link>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-02-27T00:00:00.000Z</pubDate>
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        <title>
          <![CDATA[ Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ]]>
        </title>
        <description>
          <![CDATA[  ]]>
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        <link>https://blog.athina.ai/everything-of-thoughts-defying-the-law-of-penrose-triangle-for-thought-generation</link>
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        <![CDATA[ Research Paper ]]>
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          <dc:creator>
          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2024-02-23T00:00:00.000Z</pubDate>
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          <![CDATA[ Retrieval-Augmented Thought Process as Sequential Decision Making ]]>
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          <![CDATA[ Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective ]]>
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          <![CDATA[ EntGPT: Linking Generative Large Language Models with Knowledge Bases ]]>
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          <![CDATA[ Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training ]]>
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          <![CDATA[ 10 Rules for LLM Evaluation: What we learned after a year of building ]]>
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          <![CDATA[ A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications ]]>
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          <![CDATA[ Factuality of Large Language Models in the Year 2024 ]]>
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          <![CDATA[ GuReT: Distinguishing Guilt and Regret related Text ]]>
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          <![CDATA[ Wordflow: Social Prompt Engineering for Large Language Models ]]>
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          <![CDATA[ Prompt Design and Engineering: Introduction and Advanced Methods ]]>
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          <![CDATA[ Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering ]]>
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          <![CDATA[ Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines ]]>
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          <![CDATA[ DiffusionGPT: LLM-Driven Text-to-Image Generation System ]]>
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          <![CDATA[ Adversarial Prompt Tuning for Vision-Language Models ]]>
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          <![CDATA[ A Novel Approach for Rapid Development Based on ChatGPT and Prompt Engineering ]]>
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          <![CDATA[ Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models ]]>
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          <![CDATA[ ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt ]]>
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          <![CDATA[ LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers ]]>
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          <![CDATA[ Rethinking Visual Prompt Learning as Masked Visual Token Modeling ]]>
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          <![CDATA[ Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4 ]]>
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          <![CDATA[ PathFinder: Guided Search over Multi-Step Reasoning Paths ]]>
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          <![CDATA[ Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies ]]>
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          <![CDATA[ Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration ]]>
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          <![CDATA[ KnowGPT: Knowledge Injection for Large Language Models ]]>
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          <![CDATA[ EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-10T00:00:00.000Z</pubDate>
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          <![CDATA[ PEACE: Prompt Engineering Automation for CLIPSeg Enhancement in Aerial Robotics ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt-In-Prompt Learning for Universal Image Restoration ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-08T00:00:00.000Z</pubDate>
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          <![CDATA[ PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-07T00:00:00.000Z</pubDate>
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          <![CDATA[ Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-07T00:00:00.000Z</pubDate>
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          <![CDATA[ SPROUT: Authoring Programming Tutorials with Interactive Visualization of Large Language Model Generation Process ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-04T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-03T00:00:00.000Z</pubDate>
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          <![CDATA[ ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-12-02T00:00:00.000Z</pubDate>
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          <![CDATA[ What we learned from speaking to 50+ LLM developers building RAG apps. ]]>
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        <![CDATA[ Athina ]]>
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          <![CDATA[ Shiv Sakhuja ]]>
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        <pubDate>2023-11-29T00:00:00.000Z</pubDate>
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          <![CDATA[ PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification ]]>
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        <![CDATA[ Safety ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-28T00:00:00.000Z</pubDate>
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          <![CDATA[ Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination ]]>
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          <![CDATA[  ]]>
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        <![CDATA[ Hallucinations ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-27T00:00:00.000Z</pubDate>
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          <![CDATA[ How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings ]]>
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        <![CDATA[ Prompt Engineering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-27T00:00:00.000Z</pubDate>
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          <![CDATA[ Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions ]]>
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          <![CDATA[  ]]>
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        <![CDATA[ Prompt Engineering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-23T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt a Robot to Walk with Large Language Models ]]>
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        <![CDATA[ Foundation Model ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-17T00:00:00.000Z</pubDate>
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          <![CDATA[ To be or not to be? an exploration of continuously controllable prompt engineering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-16T00:00:00.000Z</pubDate>
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          <![CDATA[ Fine-tuning Language Models for Factuality ]]>
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          <![CDATA[  ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-14T00:00:00.000Z</pubDate>
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          <![CDATA[ Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning ]]>
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        <![CDATA[ Prompt Engineering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models ]]>
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        <![CDATA[ RAG ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ Automatic Root Cause Analysis via Large Language Models for Cloud Incidents ]]>
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          <![CDATA[ Promise: Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ Testing LLMs on Code Generation with Varying Levels of Prompt Specificity ]]>
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        <pubDate>2023-11-10T00:00:00.000Z</pubDate>
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          <![CDATA[ A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions ]]>
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        <![CDATA[ Hallucinations ]]>
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        <pubDate>2023-11-09T00:00:00.000Z</pubDate>
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          <![CDATA[ Large Language Models and Prompt Engineering for Biomedical Query Focused Multi-Document Summarisation ]]>
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        <pubDate>2023-11-09T00:00:00.000Z</pubDate>
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          <![CDATA[ Chain-of-Thought Reasoning is a Policy Improvement Operator ]]>
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        <pubDate>2023-11-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ]]>
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          <![CDATA[ AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-11-03T00:00:00.000Z</pubDate>
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          <![CDATA[ Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game ]]>
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        <![CDATA[ Fine Tuning ]]>
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        <pubDate>2023-11-02T00:00:00.000Z</pubDate>
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          <![CDATA[ Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield ]]>
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        <pubDate>2023-10-31T00:00:00.000Z</pubDate>
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          <![CDATA[ Athina AI: LLM Monitoring and Evaluation Platform ]]>
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          <![CDATA[ Prompt-Engineering and Transformer-based Question Generation and Evaluation ]]>
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        <pubDate>2023-10-29T00:00:00.000Z</pubDate>
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          <![CDATA[ Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-28T00:00:00.000Z</pubDate>
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          <![CDATA[ Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review ]]>
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        <pubDate>2023-10-27T00:00:00.000Z</pubDate>
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          <![CDATA[ Batch Prompting: Efficient Inference with Large Language Model APIs ]]>
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        <pubDate>2023-10-24T00:00:00.000Z</pubDate>
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          <![CDATA[ An LLM can Fool Itself: A Prompt-Based Adversarial Attack ]]>
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        <pubDate>2023-10-20T00:00:00.000Z</pubDate>
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          <![CDATA[ NLPBench: Evaluating Large Language Models on Solving NLP Problems ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-19T00:00:00.000Z</pubDate>
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          <![CDATA[ Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning ]]>
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          <![CDATA[ Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks ]]>
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          <![CDATA[ Autonomous Tree-search Ability of Large Language Models ]]>
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          <![CDATA[ PromptTTS 2: Describing and Generating Voices with Text Prompt ]]>
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          <![CDATA[ Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks ]]>
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        <pubDate>2023-10-11T00:00:00.000Z</pubDate>
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          <![CDATA[ Detecting Common Mistakes in RAG-based LLM Applications ]]>
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          <![CDATA[ Shiv Sakhuja ]]>
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        <pubDate>2023-10-10T00:00:00.000Z</pubDate>
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          <![CDATA[ LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-10T00:00:00.000Z</pubDate>
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          <![CDATA[ LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models ]]>
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        <pubDate>2023-10-09T00:00:00.000Z</pubDate>
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          <![CDATA[ Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-09T00:00:00.000Z</pubDate>
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          <![CDATA[ Guiding Large Language Models via Directional Stimulus Prompting ]]>
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        <pubDate>2023-10-09T00:00:00.000Z</pubDate>
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          <![CDATA[ Text-driven Prompt Generation for Vision-Language Models in Federated Learning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-09T00:00:00.000Z</pubDate>
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          <![CDATA[ Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Understanding prompt engineering may not require rethinking generalization ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-06T00:00:00.000Z</pubDate>
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          <![CDATA[ Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-04T00:00:00.000Z</pubDate>
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          <![CDATA[ Large Language Models as Analogical Reasoners ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-03T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt-tuning latent diffusion models for inverse problems ]]>
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        <![CDATA[ Research Paper ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-10-02T00:00:00.000Z</pubDate>
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          <![CDATA[ SPELL: Semantic Prompt Evolution based on a LLM ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ AutoHall: Automated Hallucination Dataset Generation for Large Language Models ]]>
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        <![CDATA[ Hallucinations ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-30T00:00:00.000Z</pubDate>
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          <![CDATA[ Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models ]]>
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        <![CDATA[ Reasoning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-28T00:00:00.000Z</pubDate>
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          <![CDATA[ ResearDesign Guidelines for Prompt Engineering Text-to-Image Generative Models ]]>
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        <![CDATA[ Evaluation ]]>
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          <![CDATA[ Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic ]]>
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        <pubDate>2023-09-23T00:00:00.000Z</pubDate>
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          <![CDATA[ Text Summarization: LLM Failure Cases and Detection Methods ]]>
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          <![CDATA[ Chain-of-Verification Reduces Hallucination in Large Language Models ]]>
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          <![CDATA[ Chain-of-Verification Reduces Hallucination in Large Language Models ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-20T00:00:00.000Z</pubDate>
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          <![CDATA[ Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness ]]>
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        <![CDATA[ Hallucinations ]]>
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        <pubDate>2023-09-20T00:00:00.000Z</pubDate>
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          <![CDATA[ Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ]]>
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        <![CDATA[ Prompt Engineering ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-15T00:00:00.000Z</pubDate>
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          <![CDATA[ Temporal evolution of depolarization and magnetic field of FRB 20201124A ]]>
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        <![CDATA[ Evaluation ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-13T00:00:00.000Z</pubDate>
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          <![CDATA[ Re-Reading Improves Reasoning in Large Language Models ]]>
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          <![CDATA[  ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-12T00:00:00.000Z</pubDate>
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          <![CDATA[ From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Language Prompt for Autonomous Driving ]]>
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          <![CDATA[  ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-07T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-06T00:00:00.000Z</pubDate>
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          <![CDATA[ Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models ]]>
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        <![CDATA[ Hallucinations ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-09-03T00:00:00.000Z</pubDate>
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          <![CDATA[ Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning ]]>
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          <![CDATA[  ]]>
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        <![CDATA[ Reasoning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-08-21T00:00:00.000Z</pubDate>
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          <![CDATA[ StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-08-20T00:00:00.000Z</pubDate>
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          <![CDATA[ FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-08-20T00:00:00.000Z</pubDate>
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          <![CDATA[ How can you catch LLM hallucinations? ]]>
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          <dc:creator>
          <![CDATA[ Shiv Sakhuja ]]>
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        <pubDate>2023-08-19T00:00:00.000Z</pubDate>
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          <![CDATA[ Graph of Thoughts: Solving Elaborate Problems with Large Language Models ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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        <pubDate>2023-08-18T00:00:00.000Z</pubDate>
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          <![CDATA[ Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought ]]>
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        <![CDATA[ Reasoning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ SGL-PT: A Strong Graph Learner with Graph Prompt Tuning ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application? ]]>
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          <![CDATA[ Athina AI Research Agent ]]>
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          <![CDATA[ Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering ]]>
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          <![CDATA[ IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models ]]>
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        <![CDATA[ Fine Tuning ]]>
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        <pubDate>2023-08-13T00:00:00.000Z</pubDate>
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          <![CDATA[ You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content ]]>
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        <pubDate>2023-08-10T00:00:00.000Z</pubDate>
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          <![CDATA[ AutoHint: Automatic Prompt Optimization with Hint Generation ]]>
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        <pubDate>2023-08-08T00:00:00.000Z</pubDate>
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          <![CDATA[ Large Language Model Prompt Chaining for Long Legal Document Classification ]]>
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          <![CDATA[ An automatically discovered chain-of-thought prompt generalizes to novel models and datasets ]]>
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        <pubDate>2023-08-03T00:00:00.000Z</pubDate>
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          <![CDATA[ Reverse Stable Diffusion: What prompt was used to generate this image? ]]>
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        <pubDate>2023-08-02T00:00:00.000Z</pubDate>
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          <![CDATA[ Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators ]]>
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        <pubDate>2023-07-31T00:00:00.000Z</pubDate>
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          <![CDATA[ Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ]]>
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        <pubDate>2023-07-28T00:00:00.000Z</pubDate>
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          <![CDATA[ A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models ]]>
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        <pubDate>2023-07-24T00:00:00.000Z</pubDate>
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          <![CDATA[ Chit-Chat or Deep Talk: Prompt Engineering for Process Mining ]]>
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        <![CDATA[ RAG ]]>
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        <pubDate>2023-07-19T00:00:00.000Z</pubDate>
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          <![CDATA[ A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering ]]>
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        <pubDate>2023-07-03T00:00:00.000Z</pubDate>
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          <![CDATA[ Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances ]]>
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          <![CDATA[ ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration ]]>
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        <![CDATA[ Foundation Model ]]>
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        <pubDate>2023-06-23T00:00:00.000Z</pubDate>
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          <![CDATA[ Compositional Exemplars for In-context Learning ]]>
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        <pubDate>2023-06-20T00:00:00.000Z</pubDate>
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          <![CDATA[ Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting ]]>
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        <pubDate>2023-06-19T00:00:00.000Z</pubDate>
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          <![CDATA[ Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT ]]>
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          <![CDATA[ Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection ]]>
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          <![CDATA[ Large Language Models Can Be Easily Distracted by Irrelevant Context ]]>
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          <![CDATA[ On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning ]]>
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          <![CDATA[ Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services ]]>
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          <![CDATA[ Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations ]]>
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          <![CDATA[ Focused Prefix Tuning for Controllable Text Generation ]]>
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          <![CDATA[ Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery ]]>
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          <![CDATA[ AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code ]]>
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          <![CDATA[ Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models ]]>
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          <![CDATA[ Prompt Algebra for Task Composition ]]>
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          <![CDATA[ Exploring Lottery Prompts for Pre-trained Language Models ]]>
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          <![CDATA[ Let's Verify Step by Step ]]>
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          <![CDATA[ Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses ]]>
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          <![CDATA[ Universality and Limitations of Prompt Tuning ]]>
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          <![CDATA[ Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ]]>
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          <![CDATA[ MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting ]]>
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          <![CDATA[ Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models ]]>
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          <![CDATA[ Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation ]]>
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          <![CDATA[ Reasoning with Language Model is Planning with World Model ]]>
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          <![CDATA[ Making Large Language Models Better Reasoners with Step-Aware Verifier ]]>
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          <![CDATA[ Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization ]]>
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          <![CDATA[ Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting ]]>
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          <![CDATA[ Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study ]]>
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          <![CDATA[ PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents ]]>
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          <![CDATA[ Better Zero-Shot Reasoning with Self-Adaptive Prompting ]]>
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          <![CDATA[ Can We Edit Factual Knowledge by In-Context Learning? ]]>
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          <![CDATA[ Explaining Emergent In-Context Learning as Kernel Regression ]]>
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          <![CDATA[ Meta-in-context learning in large language models ]]>
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          <![CDATA[ Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies ]]>
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          <![CDATA[ Post Hoc Explanations of Language Models Can Improve Language Models ]]>
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          <![CDATA[ Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs ]]>
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          <![CDATA[ TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding ]]>
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          <![CDATA[ TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks ]]>
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          <![CDATA[ Efficient Prompting via Dynamic In-Context Learning ]]>
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          <![CDATA[ The Web Can Be Your Oyster for Improving Large Language Models ]]>
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          <![CDATA[ Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency ]]>
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          <![CDATA[ ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs ]]>
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          <![CDATA[ Segment Any Anomaly without Training via Hybrid Prompt Regularization ]]>
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          <![CDATA[ Tree of Thoughts: Deliberate Problem Solving with Large Language Models ]]>
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          <![CDATA[ Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models ]]>
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          <![CDATA[ Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt ]]>
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          <![CDATA[ Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models ]]>
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          <![CDATA[ SatLM: Satisfiability-Aided Language Models Using Declarative Prompting ]]>
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          <![CDATA[ Pre-Training to Learn in Context ]]>
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          <![CDATA[ Prompt-Tuning Decision Transformer with Preference Ranking ]]>
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          <![CDATA[ Large Language Model Guided Tree-of-Thought ]]>
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        <pubDate>2023-05-15T00:00:00.000Z</pubDate>
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          <![CDATA[ Improving ChatGPT Prompt for Code Generation ]]>
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          <![CDATA[ Active Retrieval Augmented Generation ]]>
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          <![CDATA[ Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT ]]>
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          <![CDATA[ Privacy-Preserving Prompt Tuning for Large Language Model Services ]]>
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        <pubDate>2023-05-10T00:00:00.000Z</pubDate>
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          <![CDATA[ Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods ]]>
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          <![CDATA[ Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models ]]>
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          <![CDATA[ Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts ]]>
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          <![CDATA[ Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks ]]>
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          <![CDATA[ SAM on Medical Images: A Comprehensive Study on Three Prompt Modes ]]>
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          <![CDATA[ Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond ]]>
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          <![CDATA[ Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond ]]>
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          <![CDATA[ Divide and Prompt: Chain of Thought Prompting for Text-to-SQL ]]>
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          <![CDATA[ BIM-GPT: a Prompt-Based Virtual Assistant Framework for BIM Information Retrieval ]]>
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        <pubDate>2023-04-18T00:00:00.000Z</pubDate>
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          <![CDATA[ Tool Learning with Foundation Models ]]>
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          <![CDATA[ A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair ]]>
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          <![CDATA[ Progressive Visual Prompt Learning with Contrastive Feature Re-formation ]]>
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          <![CDATA[ PBNR: Prompt-based News Recommender System ]]>
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          <![CDATA[ Does Prompt-Tuning Language Model Ensure Privacy? ]]>
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        <pubDate>2023-04-15T00:00:00.000Z</pubDate>
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          <![CDATA[ Boosted Prompt Ensembles for Large Language Models ]]>
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          <![CDATA[ Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning ]]>
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        <![CDATA[ Fine Tuning ]]>
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          <![CDATA[ Boosted Prompt Ensembles for Large Language Models ]]>
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        <![CDATA[ RAG ]]>
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          <![CDATA[ Decomposed Prompting: A Modular Approach for Solving Complex Tasks ]]>
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        <![CDATA[ Reasoning ]]>
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        <pubDate>2023-04-11T00:00:00.000Z</pubDate>
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          <![CDATA[ PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models ]]>
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          <![CDATA[ Why think step by step? Reasoning emerges from the locality of experience ]]>
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          <![CDATA[ Revisiting Automated Prompting: Are We Actually Doing Better? ]]>
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          <![CDATA[ One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era ]]>
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        <![CDATA[ Foundation Model ]]>
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          <![CDATA[ REFINER: Reasoning Feedback on Intermediate Representations ]]>
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          <![CDATA[ viz2viz: Prompt-driven stylized visualization generation using a diffusion model ]]>
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        <![CDATA[ Dataset Generation ]]>
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          <![CDATA[ A Bibliometric Review of Large Language Models Research from 2017 to 2023 ]]>
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          <![CDATA[ CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society ]]>
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          <![CDATA[ Self-Refine: Iterative Refinement with Self-Feedback ]]>
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          <![CDATA[ Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential ]]>
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          <![CDATA[ Natural Language Reasoning, A Survey ]]>
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          <![CDATA[ Visual-Language Prompt Tuning with Knowledge-guided Context Optimization ]]>
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          <![CDATA[ Fairness-guided Few-shot Prompting for Large Language Models ]]>
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          <![CDATA[ Reflexion: Language Agents with Verbal Reinforcement Learning ]]>
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          <![CDATA[ Context-faithful Prompting for Large Language Models ]]>
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          <![CDATA[ A Comprehensive Survey on Instruction Following ]]>
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          <![CDATA[ ART: Automatic multi-step reasoning and tool-use for large language models ]]>
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          <![CDATA[ UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation ]]>
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          <![CDATA[ Visual Prompt Based Personalized Federated Learning ]]>
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          <![CDATA[ Model-tuning Via Prompts Makes NLP Models Adversarially Robust ]]>
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          <![CDATA[ ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design ]]>
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          <![CDATA[ Large Language Models Are Human-Level Prompt Engineers ]]>
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          <![CDATA[ ReAct: Synergizing Reasoning and Acting in Language Models ]]>
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          <![CDATA[ CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification ]]>
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          <![CDATA[ Larger language models do in-context learning differently ]]>
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          <![CDATA[ Self-Consistency Improves Chain of Thought Reasoning in Language Models ]]>
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          <![CDATA[ OpenICL: An Open-Source Framework for In-context Learning ]]>
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          <![CDATA[ Dynamic Prompting: A Unified Framework for Prompt Tuning ]]>
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          <![CDATA[ Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ]]>
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          <![CDATA[ Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data ]]>
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          <![CDATA[ Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer ]]>
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          <![CDATA[ Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners ]]>
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          <![CDATA[ Mixture of Soft Prompts for Controllable Data Generation ]]>
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        <pubDate>2023-03-02T00:00:00.000Z</pubDate>
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          <![CDATA[ Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT ]]>
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          <![CDATA[ Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning ]]>
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          <![CDATA[ How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks ]]>
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        <pubDate>2023-03-01T00:00:00.000Z</pubDate>
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          <![CDATA[ SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks ]]>
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          <![CDATA[ Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following ]]>
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          <![CDATA[ EvoPrompting: Language Models for Code-Level Neural Architecture Search ]]>
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          <![CDATA[ Language Is Not All You Need: Aligning Perception with Language Models ]]>
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          <![CDATA[ GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks ]]>
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        <pubDate>2023-02-25T00:00:00.000Z</pubDate>
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          <![CDATA[ Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data ]]>
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          <![CDATA[ Active Prompting with Chain-of-Thought for Large Language Models ]]>
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          <![CDATA[ Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection ]]>
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          <![CDATA[ Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness ]]>
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          <![CDATA[ How Does In-Context Learning Help Prompt Tuning? ]]>
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          <![CDATA[ A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT ]]>
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          <![CDATA[ Scalable Prompt Generation for Semi-supervised Learning with Language Models ]]>
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          <![CDATA[ The Capacity for Moral Self-Correction in Large Language Models ]]>
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          <![CDATA[ DocPrompting: Generating Code by Retrieving the Docs ]]>
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          <![CDATA[ Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints ]]>
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          <![CDATA[ Multimodal Chain-of-Thought Reasoning in Language Models ]]>
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          <![CDATA[ Recitation-Augmented Language Models ]]>
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          <![CDATA[ Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition ]]>
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          <![CDATA[ Augmented Language Models: a Survey ]]>
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          <![CDATA[ A-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting ]]>
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          <![CDATA[ Prompting GPT-3 To Be Reliable ]]>
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          <![CDATA[ SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains ]]>
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          <![CDATA[ The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ]]>
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          <![CDATA[ Evaluating the Robustness of Discrete Prompts ]]>
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          <![CDATA[ Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning ]]>
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          <![CDATA[ Chain of Hindsight Aligns Language Models with Feedback ]]>
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          <![CDATA[ Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models ]]>
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          <![CDATA[ Progressive Prompts: Continual Learning for Language Models ]]>
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          <![CDATA[ Large Language Models are Zero-Shot Reasoners ]]>
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          <![CDATA[ PAL: Program-aided Language Models ]]>
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          <![CDATA[ Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought ]]>
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          <![CDATA[ Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP ]]>
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          <![CDATA[ Chain-of-Thought Prompting Elicits Reasoning in Large Language Models ]]>
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