Large Language Models

OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation EMNLP 2024 OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models ACL 2024 Open-Vocabulary Calibration for Fine-tuned CLIP ICML 2024 Open-Vocabulary Video Anomaly Detection CVPR 2024 OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models ACL 2024 OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation CVPR 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024 Optimizing Language Models for Human Preferences is a Causal Inference Problem UAI 2024 Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024 Optimizing Watermarks for Large Language Models ICML 2024 Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks NeurIPS 2024 OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models ICML 2024 Order-Independence Without Fine Tuning NeurIPS 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 OSX at Context24: How Well Can GPT Tackle Contexualizing Scientific Figures and Tables ACL 2024 OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature EMNLP 2024 Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding EMNLP 2024 Outcome-Constrained Large Language Models for Countering Hate Speech EMNLP 2024 Outlier-Efficient Hopfield Layers for Large Transformer-Based Models ICML 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity ICML 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024