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Mengyue Yang

ACL 2026×2ICLR 2026推理评测与基准智能体与工具强化学习与后训练对齐与偏好
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0 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #8/11ACL 2026Poster· Natural Language Processing

A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage

Congmin Zheng · Jiachen Zhu · Zhuoying Ou · Yuxiang Chen · Kangning Zhang · Rong Shan · Zeyu Zheng · Mengyue Yang · Ruiming Tang (Huawei Noah&#x27 · s Ark Lab) · Ruiming Tang (Huawei Noah&#x27

摘要

Large Language Models (LLMs) have advanced reasoning ability, yet conventional alignment remains dominated by outcome reward models (ORMs) that judge only final answers. Process Reward Models(PRMs) address this gap by evaluating and guiding reasoning at the step or trajectory level. This survey p...

推理评测与基准对齐与偏好OpenReview 项目页
作者位次 #4/7ACL 2026Findings· Findings of ACL

C reative B ench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

Zihan Wang · Lam Nguyen · Zhengyang Zhao · Mengyue Yang · Chengwei Qin · Yujiu Yang · Linyi Yang

摘要

The saturation of high-quality pre-training data has shifted research focus toward evolutionary systems capable of continuously generating novel artifacts, leading to the success of AlphaEvolve. However, the progress of such systems is hindered by the lack of rigorous, quantitative evaluation. To...

评测与基准检索与知识推理OpenReview 项目页

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