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Jiachen Zhu

ACL 2026×2KDD 2026×2ICML 2026智能体与工具检索与知识推理评测与基准对齐与偏好
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1 一作 · 5 篇 · ACL 2026 / KDD 2026 / ICML 2026

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2026 顶会论文

5
作者位次 #2/11ACL 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 #7/10ACL 2026Poster· Natural Language Processing

A Survey of Large Language Model-Based Search Agents

Yunjia Xi · Ruiming Tang (Huawei Noah&#x27 · Yongzhao Xiao · Zheli Zhou · Rong Shan · Te Gao · Jiachen Zhu · Weiwen Liu · s Ark Lab) · Ruiming Tang (Huawei Noah&#x27

摘要

The advent of Large Language Models (LLMs) has significantly revolutionized web search. The emergence of LLM-based Search Agents marks a pivotal shift towards deeper, dynamic, autonomous information seeking. These agents can comprehend user intentions and environment context and execute multi-tur...

检索与知识推理智能体与工具OpenReview 项目页

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