conftrace_

reward model

401 papers

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Also known as

RM

Co-occurring keywords · papers mentioning both

large language model (104) reinforcement learning (91) reinforcement learning from human feedback (85) preference learning (38) language model (34) direct preference optimization (33) language model alignment (29) human feedback (29) human preference (28) reward modeling (26)

Papers

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models AAAI 2025 MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning EMNLP 2025 MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors EMNLP 2025 MDCure: A Scalable Pipeline for Multi-Document Instruction-Following ACL 2025 Measuring And Improving Engagement of Text-to-Image Generation Models ICLR 2025 Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization ICLR 2025 MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents ICLR 2025 MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification ACL 2025 M-RewardBench: Evaluating Reward Models in Multilingual Settings ACL 2025 Multimodal LLMs as Customized Reward Models for Text-to-Image Generation ICCV 2025 Mutual-Taught for Co-adapting Policy and Reward Models ACL 2025 MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025 NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric ICML 2025 Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity EMNLP 2025 NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning EMNLP 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 On the Robustness of Reward Models for Language Model Alignment ICML 2025 OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees ICLR 2025 OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis ACL 2025 PersonalLLM: Tailoring LLMs to Individual Preferences ICLR 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models ICML 2025 Post-hoc Reward Calibration: A Case Study on Length Bias ICLR 2025 PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ACL 2025 Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance ICLR 2025