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Meng Zhou

ACL 2026×2评测与基准检索与知识代码智能体与工具
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #9/15ACL 2026Findings· Findings of ACL

M ul D im IF : A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models

Junjie Ye · Caishuang Huang · Zhuohan Chen · Wenjie Fu · Chenyuan Yang · Leyi Yang · Yilong Wu · Peng Wang · Meng Zhou · Xiaolong Yang · Tao Gui · Qi Zhang · zhongchao shi · Jianping Fan · Xuanjing Huang

摘要

Instruction following refers to the ability of large language models (LLMs) to generate outputs that satisfy all specified constraints. Existing research has primarily focused on constraint categories, offering limited evaluation dimensions and little guidance for improving instruction-following...

评测与基准检索与知识代码OpenReview 项目页
作者位次 #7/11ACL 2026Findings· Findings of ACL

F in T ool S yn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval

Caishuang Huang · Yang Qiao · Rongyu Zhang · Junjie Ye · Pu Lu · Wuwenxi · Meng Zhou · Xiku Du · Qi Zhang · Tao Gui · Xuanjing Huang

摘要

Tool-use capabilities are vital for Large Language Models (LLMs) in finance, a domain characterized by massive investment targets and data-intensive inquiries. However, existing data synthesis methods typically rely on a reverse synthesis paradigm, generating user queries from pre-sampled tools....

智能体与工具评测与基准检索与知识OpenReview 项目页

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