conftrace_

preference optimization

355 papers

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PO

Co-occurring keywords · papers mentioning both

large language model (156) direct preference optimization (50) reinforcement learning (44) reinforcement learning from human feedback (36) language model alignment (31) model alignment (30) language model (29) supervised fine-tuning (29) reward model (23) diffusion model (18)

Papers

Noise Contrastive Alignment of Language Models with Explicit Rewards NeurIPS 2024 Optimizing Language Models for Human Preferences is a Causal Inference Problem UAI 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models ACL 2024 PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications NeurIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model ACL 2024 Post-edits Are Preferences Too EMNLP 2024 Preference Tuning For Toxicity Mitigation Generalizes Across Languages EMNLP 2024 Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning EMNLP 2024 RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs EMNLP 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024 Robust Reinforcement Learning from Corrupted Human Feedback NeurIPS 2024 Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences NeurIPS 2024 Self-training Language Models for Arithmetic Reasoning EMNLP 2024 SpeechAlign: Aligning Speech Generation to Human Preferences NeurIPS 2024 Step-level Value Preference Optimization for Mathematical Reasoning EMNLP 2024 Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning NeurIPS 2024 Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization SemEval 2024 The Importance of Online Data: Understanding Preference Fine-tuning via Coverage NeurIPS 2024 Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024 UltraMedical: Building Specialized Generalists in Biomedicine NeurIPS 2024 V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization EMNLP 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024