Preference Learning

Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning ACL 2025 Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA SemEval 2025 Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025 DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback ICLR 2025 EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model ACL 2025 Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization AAAI 2025 Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models EMNLP 2025 Feasible Learning AISTATS 2025 FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025 Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025 GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis ACL 2025 GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization ACL 2025 Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction ACL 2025 Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback ACL 2025 ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization ICCV 2025 In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025 Instantly Learning Preference Alignment via In-context DPO NAACL 2025 InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model ACL 2025 IPO: Your Language Model is Secretly a Preference Classifier ACL 2025 Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits EMNLP 2025 Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning AAAI 2025 MallowsPO: Fine-Tune Your LLM with Preference Dispersions ICLR 2025 MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025 M-RewardBench: Evaluating Reward Models in Multilingual Settings ACL 2025 MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025