作者位次 #4/6ACL 2026Findings· Findings of ACL
O pen G en A lign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation
Hanning Zhang · Juntong Song · Juno Zhu · Yuanhao Wu · Tong Zhang · Cheng Niu
摘要
Reward Modeling is critical in evaluating and improving the generation of Large Language Models (LLMs). % They are typically trained on high-quality annotated datasets to distinguish between better and worse responses. While numerous recent works have shown its feasibility in improving safety, he...