reward model

An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency AAAI 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025 AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward CVPR 2025 AutoAlign: Get Your LLM Aligned with Minimal Annotations ACL 2025 BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step COLING 2025 Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark ICML 2025 Bootstrapping Language Models with DPO Implicit Rewards ICLR 2025 Calibrated Multi-Preference Optimization for Aligning Diffusion Models CVPR 2025 CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences IJCNLP 2025 Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025 ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation EMNLP 2025 CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward EMNLP 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 CREAM: Consistency Regularized Self-Rewarding Language Models ICLR 2025 Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling ICLR 2025 Curriculum Direct Preference Optimization for Diffusion and Consistency Models CVPR 2025 Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences ICCV 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math ACL 2025 Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward NAACL 2025 Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data ICML 2025 Diving into Self-Evolving Training for Multimodal Reasoning ICML 2025