large language model

TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024 The Overlooked Repetitive Lengthening Form in Sentiment Analysis EMNLP 2024 The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models EMNLP 2024 The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs ACL 2024 The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models NeurIPS 2024 The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models ACL 2024 The Program Testing Ability of Large Language Models for Code EMNLP 2024 The Reasonableness Behind Unreasonable Translation Capability of Large Language Model ICLR 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 Thermometer: Towards Universal Calibration for Large Language Models ICML 2024 The SETU-ADAPT Submission for WMT 24 Biomedical Shared Task EMNLP 2024 The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task EMNLP 2024 The SETU-ADAPT Submissions to WMT 2024 Chat Translation Tasks EMNLP 2024 The State of the Art of Large Language Models on Chartered Financial Analyst Exams EMNLP 2024 The steerability of large language models toward data-driven personas NAACL 2024 The STVchrono Dataset: Towards Continuous Change Recognition in Time CVPR 2024 The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments COLING 2024 The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction ICLR 2024 The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications EACL 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024 The UNLP 2024 Shared Task on Fine-Tuning Large Language Models for Ukrainian COLING 2024 The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024 The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024 The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning ICML 2024 “They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations EMNLP 2024