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作者位次 #5/9ICML 2026Poster· Deep Learning / Large Language Models

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training

Ran Xu · Tianci Liu · Zihan Dong · Tony Yu · Ilgee Hong · Carl Yang · Linjun Zhang · Tuo Zhao · Haoyu Wang

强化学习与后训练对齐与偏好OpenReview

作者位次 #4/7ACL 2026Poster· Natural Language Processing

O pen R ubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment

Tianci Liu · Ran Xu · Tony Yu · Ilgee Hong · Carl Yang · Tuo Zhao · Haoyu Wang

摘要

Reward modeling lies at the core of reinforcement learning from human feedback (RLHF), yet most existing reward models rely on scalar or pairwise judgments that fail to capture the multifaceted nature of human preferences. Recent studies have explored rubrics-as-rewards (RaR) that uses structured...

对齐与偏好评测与基准社会与人本OpenReview 项目页

Ilgee Hong

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2026 顶会论文

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training

O pen R ubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment

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