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Zhenhao Zhang

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#machine learning Preprint Sep 2026

ReTaCo: Residual-Target Control for On-Policy Distillation

On-policy distillation (OPD) trains a student on its own generated prefixes with token-level teacher feedback, but transmitting or storing the teacher's full-vocabulary distribution at every token is costly. Entropy-aware OPD (EOPD) adds forward supervision to reverse KL to help the student recover plausible tokens it...

Zi-Xiang Ni, Zhuo-Lun Hu, Ren-Jie Cao et al. · 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
Jul 2026

SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents

The proposed SeekJudge framework, in which four role-specialized agents, a Condense, a Ground, a Seek and an Analyze agent, reach a verdict through a Seek--Analyze loop over the trajectory, is the first practical model-based reward to match or surpass native rule-based supervision in online RL.

Yang Wan, Zhenhao Zhang, Jie-Rui Wang et al. · 0 citations

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