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Jun-Hao Zhou

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Book Open access Oct 2026

Introducing Safe LLM-Agent Execution via Typed Tool Mediation and World-Effect Evaluation

LLM-based agents are increasingly used as action-taking systems that operate over files, databases, networks, and external services. In this setting, safety failures can become unauthorized world effects, such as data deletion, protected-resource modification, or secret exfiltration, rather than merely unsafe text outp...

Jun-Hao Zhou, Tao Jia · 0 citations
#artificial intelligence Preprint Sep 2026

CaptchaArena: A Large-Scale, Fine-Grained Dataset for Training Computer-Use Agents on Interactive CAPTCHAs

CaptchaArena, the first large-scale, fine-grained training dataset for interactive CAPTCHA solving, is presented and CaptchaAgent, a single 9B policy for all 20 CAPTCHA types, is trained with supervised fine-tuning followed by reinforcement learning.

Zhen-Hao Zhang, Zhao-Yu Fan, Hao-Han Ying et al. · 0 citations

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