Author

Hexuan Deng

Harbin Institute of Technology (ShenZhen)

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Preprint Oct 2026

AutoGUIWorld: Image Generators as Visual World Models for GUI Agent

GUI agents require high-quality interaction trajectories to learn how software environments respond to actions, maintain state, and support multi-step workflows. However, the diversity of available trajectories is constrained by the applications, interface states, and workflows accessible in the underlying environments...

Cheng Yang, Yi-Fan Wu, Yu-Tao Huang et al. · 0 citations

#natural language process... Review Mar 2026

MemoNoveltyAgent: A Historical Research Memory-Aware Agent Workflow for Paper Novelty Assessment

This work introduces MemoNoveltyAgent, a multi-agent system designed to generate comprehensive and faithful novelty reports, and proposes a RAG-augmented checklist evaluation method that enables reliable and evidence-grounded assessments.

Jiajun Hou, Hexuan Deng, Wenxiang Jiao et al. · 0 citations

#machine learning Jul 2026

Distilled Reinforcement Learning for LLM Post-training

Extensive experiments show that Distilled RL substantially outperforms standard RL and OPD in terms of both pass@1 and pass@k, and can effectively transfer previously unavailable knowledge from a teacher model to a student model.

Chen Wang, Zhaochun Li, Jionghao Bai et al. · arXiv.org · 2 citations

Preprint Aug 2026

CRISP: Critical Step Perception for Training Efficient Deep Search Agents

This paper proposes CRISP, a framework for training efficient deep search agents through critical step perception that distinguishes interactions that gather necessary evidence from redundant ones and shapes the training reward to preserve the former while pruning the latter, improving efficiency without sacrificing th...

Haosi Mo, Zihao Yan, Ruiqing Zhang et al. · 0 citations