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Yu Luo

ACL 2026×2ICLR 2026推理强化学习与后训练评测与基准社会与人本智能体与工具
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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 #3/10ACL 2026Poster· Natural Language Processing

H o WT o B ench: Holistic Evaluation for LLM ’s Capability in Human-level Writing using Tree of Writing

Andrew Zhuoer Feng · Cunxiang Wang · Yu Luo · Lin Fan · Irene Zhou · Zikang Wang · Xiaotao Gu · Jie Tang · Hongning Wang · Minlie Huang

摘要

Evaluating the writing capabilities of large language models (LLMs) remains a significant challenge due to the multidimensional nature of writing skills and the limitations of existing metrics. LLM’s performance in thousand-words level and open-ended writing is inadequately assessed by traditiona...

评测与基准社会与人本OpenReview 项目页
作者位次 #3/8ACL 2026Findings· Findings of ACL

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning

Ruotao Xu · Yixin Ji · Yu Luo · Jinpeng Li · Dong Li · Peifeng Li · Juntao Li · Min Zhang

摘要

Large reasoning models (LRMs) have achieved strong performance enhancement through scaling test time computation, but due to the inherent limitations of the underlying language models, they still have shortcomings in tasks that require precise computation and extensive knowledge reserves. Tool-In...

推理智能体与工具数据与预训练OpenReview 项目页

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