large language model

RESEMO: A Benchmark Chinese Dataset for Studying Responsive Emotion from Social Media Content ACL 2024 Resilience of Large Language Models for Noisy Instructions EMNLP 2024 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration EACL 2024 Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models ACL 2024 RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024 RESTful-Llama: Connecting User Queries to RESTful APIs EMNLP 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NeurIPS 2024 Results of the WAT/WMT 2024 Shared Task on Patent Translation EMNLP 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models NAACL 2024 Rethinking Code Refinement: Learning to Judge Code Efficiency EMNLP 2024 Rethinking Generative Large Language Model Evaluation for Semantic Comprehension ICML 2024 Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models EMNLP 2024 Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws ACML 2024 Rethinking LLM Memorization through the Lens of Adversarial Compression NeurIPS 2024 Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NeurIPS 2024 Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning EMNLP 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 Rethinking Skill Extraction in the Job Market Domain using Large Language Models EACL 2024 Rethinking STS and NLI in Large Language Models EACL 2024 Rethinking Tabular Data Understanding with Large Language Models NAACL 2024 Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024