conftrace_

reward model

276 papers

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Also known as

RM

Co-occurring keywords

large language model (13587) reinforcement learning (4352) reinforcement learning from human feedback (278) language model (4599) preference learning (418) language model alignment (142) reward modeling (164) direct preference optimization (332) human feedback (161) human preference (124)

Papers

Reward Model Perspectives: Whose Opinions Do Reward Models Reward? EMNLP 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation EMNLP 2025
Unfamiliar Finetuning Examples Control How Language Models Hallucinate NAACL 2025
Rejected Dialects: Biases Against African American Language in Reward Models NAACL 2025
AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation EMNLP 2025
RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters EMNLP 2025
ReNeg: Learning Negative Embedding with Reward Guidance CVPR 2025
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation EMNLP 2025
Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction EMNLP 2025
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity EMNLP 2025
CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences IJCNLP 2025
Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback ACL 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model ACL 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling ACL 2025
HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples EMNLP 2025
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning EMNLP 2025
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation ACL 2025
Reward-Guided Tree Search for Inference Time Alignment of Large Language Models NAACL 2025
Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs NAACL 2025
RewardBench: Evaluating Reward Models for Language Modeling NAACL 2025
Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries ACL 2025