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Large Language Models

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Papers

Large Language Models as SocioTechnical Systems EMNLP 2023 Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues EMNLP 2023 Large Language Models Can Be Easily Distracted by Irrelevant Context ICML 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 Large Language Models can Implement Policy Iteration NeurIPS 2023 Large Language Models Can Self-Improve EMNLP 2023 Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering NeurIPS 2023 Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. NeurIPS 2023 Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters EMNLP 2023 Large Language Models Meet NL2Code: A Survey ACL 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs NeurIPS 2023 Large Language Models respond to Influence like Humans ACL 2023 Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows NeurIPS 2023 Large Language Models with Controllable Working Memory ACL 2023 Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning EMNLP 2023 LayoutPrompter: Awaken the Design Ability of Large Language Models NeurIPS 2023 LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement EMNLP 2023 Learning Interpretable Style Embeddings via Prompting LLMs EMNLP 2023 Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions ICLR 2023 Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency ACL 2023 Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task EMNLP 2023 Learning To Name Classes for Vision and Language Models CVPR 2023 Least-to-Most Prompting Enables Complex Reasoning in Large Language Models ICLR 2023 LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models NeurIPS 2023 Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023