preference learning

Rating-Based Reinforcement Learning AAAI 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Regularized Conditional Diffusion Model for Multi-Task Preference Alignment NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024 Response Time Improves Gaussian Process Models for Perception and Preferences UAI 2024 Reward Difference Optimization For Sample Reweighting In Offline RLHF EMNLP 2024 SAFETY-J: Evaluating Safety with Critique EMNLP 2024 Self-Renewal Prompt Optimizing with Implicit Reasoning EMNLP 2024 Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NeurIPS 2024 SoFA: Shielded On-the-fly Alignment via Priority Rule Following ACL 2024 Speechworthy Instruction-tuned Language Models EMNLP 2024 Synthesizing Text-to-SQL Data from Weak and Strong LLMs ACL 2024 Teaching Language Models to Self-Improve by Learning from Language Feedback ACL 2024 Teaching Large Language Models to Translate with Comparison AAAI 2024 The Paradox of Preference: A Study on LLM Alignment Algorithms and Data Acquisition Methods NAACL 2024 The Trickle-down Impact of Reward Inconsistency on RLHF ICLR 2024 Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024 TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education ACL 2024 Towards Aligning Language Models with Textual Feedback EMNLP 2024 Towards Tool Use Alignment of Large Language Models EMNLP 2024 UltraMedical: Building Specialized Generalists in Biomedicine NeurIPS 2024 Unsupervised Human Preference Learning EMNLP 2024 V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization EMNLP 2024 What are the Generator Preferences for End-to-end Task-Oriented Dialog System? EMNLP 2024