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Large Language Models

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Papers

PALM: Predicting Actions through Language Models ECCV 2024 Paloma: A Benchmark for Evaluating Language Model Fit NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models EMNLP 2024 Parallel Structures in Pre-training Data Yield In-Context Learning ACL 2024 Parameter Efficient Instruction Tuning of LLMs for Financial Applications IJCAI 2024 PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment EMNLP 2024 PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition ICML 2024 PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data EMNLP 2024 Parrot: Efficient Serving of LLM-based Applications with Semantic Variable OSDI 2024 Part-of-Speech Tagging of 16th-Century Latin with GPT EACL 2024 Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs ECCV 2024 PCQPR: Proactive Conversational Question Planning with Reflection EMNLP 2024 Pedagogical Alignment of Large Language Models EMNLP 2024 PEDANTS: Cheap but Effective and Interpretable Answer Equivalence EMNLP 2024 Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024 Penetrative AI: Making LLMs Comprehend the Physical World ACL 2024 Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NeurIPS 2024 Perceptions of Linguistic Uncertainty by Language Models and Humans EMNLP 2024 Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models EMNLP 2024 PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering ACL 2024 Perplexing Canon: A study on GPT-based perplexity of canonical and non-canonical literary works EACL 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts EMNLP 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024