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Linhai Zhang

ACL 2026×3推理智能体与工具可解释性强化学习与后训练数据与预训练
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0 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #2/5ACL 2026Poster· Natural Language Processing

Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning

Ziqing Zhuang · Linhai Zhang · Jiasheng Si · Deyu Zhou · Yulan He

摘要

Large language models (LLMs) have demonstrated strong reasoning capabilities, and as existing approaches for enhancing LLM reasoning continue to mature, increasing attention has shifted toward meta-reasoning as a promising direction for further improvement. However, most existing meta-reasoning m...

推理可解释性强化学习与后训练OpenReview 项目页
作者位次 #4/8ACL 2026Poster· Natural Language Processing

Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation

Yeqing Teng · Jiasheng Si · Shuxia Lin · Linhai Zhang · Weiyu Zhang · Wenpeng Lu (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) · Deyu Zhou · Xiaoming Wu

摘要

With the generative capabilities of large language models (LLMs) reshaping the information ecosystem, the concern with the sociological validity of claim detection benchmarks is increasing. Current claim detection benchmarks predominantly treat claims as static textual artifacts, overlooking the...

智能体与工具数据与预训练社会与人本OpenReview 项目页
作者位次 #3/5ACL 2026Findings· Findings of ACL

MA ^{2} P : A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion

Dingyi Zhang · Ziqing Zhuang · Linhai Zhang · Ziyang Gao · Deyu Zhou

摘要

Persuasive dialogue generation plays a vital role in decision-making, negotiation, counseling, and behavior change, yet it remains a challenging problem. In complex persuasion where the persuadee’s internal states are not expressed clearly, the persuader must interpret responses, infer the persua...

推理智能体与工具检索与知识OpenReview 项目页

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