Large Language Models

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict COLING 2024 RuBia: A Russian Language Bias Detection Dataset COLING 2024 RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs EMNLP 2024 Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models EMNLP 2024 RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024 S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model NAACL 2024 S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning COLING 2024 Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM NAACL 2024 SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph ACL 2024 SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training CVPR 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NeurIPS 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations EMNLP 2024 Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions ICLR 2024 SaGE: Evaluating Moral Consistency in Large Language Models COLING 2024 Sailor: Open Language Models for South-East Asia EMNLP 2024 SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models ACL 2024 Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization EMNLP 2024 SALMON: Self-Alignment with Instructable Reward Models ICLR 2024 SALSA: Speedy ASR-LLM Synchronous Aggregation Interspeech 2024 SambaLingo: Teaching Large Language Models New Languages EMNLP 2024 Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models ACL 2024 Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024 Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024 SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024