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Feiran Liu

ACL 2026×2智能体与工具评测与基准多模态推理
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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 #8/11ACL 2026Poster· Natural Language Processing

Don’t Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction

Yuzhe Zhang · Xianwei Xue · Xingyong Wu · Mengke Chen · Chen Liu · Xinran He · Run Shao · Feiran Liu · Huanmin Xu · Qiutong Pan · Haiwei Wang

摘要

Autonomous GUI agents based on vision-language models (VLMs) often assume deterministic environment responses, generating actions without verifying whether previous operations succeeded. In real-world settings with network latency, rendering delays, and system interruptions, this assumption leads...

智能体与工具多模态评测与基准OpenReview 项目页
作者位次 #2/11ACL 2026Poster· Natural Language Processing

SILO - BENCH : A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems

Yuzhe Zhang · Feiran Liu · Yi Shan · Xinyi Huang · Xin Yang · Yueqi Zhu · Xuxin Cheng · Cao Liu · Ke Zeng · Terry Jingchen Zhang · Wenyuan Jiang

摘要

Large language models are increasingly deployed in multi-agent systems to overcome context limitations by distributing information across agents. However, whether LLM-based agents can reliably coordinate when each observes only a fragment of the global problem remains unclear. Existing benchmarks...

智能体与工具评测与基准推理OpenReview 项目页

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