Large Language Models

Large Language Models Must Be Taught to Know What They Don’t Know NeurIPS 2024 Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling COLING 2024 Large Language Models Provide Human-Level Medical Text Snippet Labeling NAACL 2024 Large Language Models Relearn Removed Concepts ACL 2024 Larimar: Large Language Models with Episodic Memory Control ICML 2024 Latent Learningscape Guided In-context Learning ACL 2024 Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities COLING 2024 LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles COLING 2024 Latxa: An Open Language Model and Evaluation Suite for Basque ACL 2024 LawBench: Benchmarking Legal Knowledge of Large Language Models EMNLP 2024 Laying Anchors: Semantically Priming Numerals in Language Modeling NAACL 2024 LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding COLING 2024 LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding CVPR 2024 LC4EE: LLMs as Good Corrector for Event Extraction ACL 2024 Lean Workbook: A large-scale Lean problem set formalized from natural language math problems NeurIPS 2024 Learning Associative Memories with Gradient Descent ICML 2024 Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning CVPR 2024 Learning Fine-Grained Grounded Citations for Attributed Large Language Models ACL 2024 Learning, Forgetting, Remembering: Insights From Tracking LLM Memorization During Training EMNLP 2024 Learning-From-Mistakes Prompting for Indigenous Language Translation ACL 2024 Learning Grounded Action Abstractions from Language ICLR 2024 Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation EMNLP 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024 Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data AAAI 2024