preference learning

Multi-Reference Preference Optimization for Large Language Models AAAI 2025 MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025 MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025 O-MAPL: Offline Multi-agent Preference Learning ICML 2025 On Synthetic Data Strategies for Domain-Specific Generative Retrieval ACL 2025 Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics EMNLP 2025 p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models IJCNLP 2025 Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment ACL 2025 Personalized LLM Decoding via Contrasting Personal Preference EMNLP 2025 PLLuM-Align: Polish Preference Dataset for Large Language Model Alignment EMNLP 2025 Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy ICLR 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences AISTATS 2025 PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment ACL 2025 Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora NAACL 2025 Preference Diffusion for Recommendation ICLR 2025 Preference learning made easy: Everything should be understood through win rate ICML 2025 Progress or Regress? Self-Improvement Reversal in Post-training ICLR 2025 ProSec: Fortifying Code LLMs with Proactive Security Alignment ICML 2025 Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025 RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation EMNLP 2025 RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning EMNLP 2025 R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models ICML 2025 Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment NAACL 2025 Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms AISTATS 2025 Rethinking DPO: The Role of Rejected Responses in Preference Misalignment EMNLP 2025