Get started
Author

Jun Xiao

Observed name: Xiao, Jun
Institution: Zhejiang University
Observed institution: Zhejiang University
OpenAlex ID: A5125772842
Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents
2026 · Chen, Bofan, Zhang, Boxuan, et al. · arXiv (Cornell University)
PDF
PaperGym: Rubric-Centered Evolution for Research-Plan Generation
2026 · Wang, Yuhan, Lu, Zhengxi, et al. · arXiv (Cornell University)
PDF
See the Change, Keep the Flow: Unsupervised Action Segmentation via Spectral-Temporal Representation Learning
2026 · Li, Yun, Xiao, Jun, et al. · arXiv (Cornell University)
PDF
TTPO: Test-Time Policy Optimization
2026 · Wang, Aozhe, Lu, Zhengxi, et al. · arXiv (Cornell University)
PDF
BrowserForge: Scaling Web Episode via Parallel Browser Sandboxes
2026 · Tang, Fei, Shen, Huawen, et al. · arXiv (Cornell University)
PDF
PromptPath: Prompt-Adaptive Computational Pathways for In-Context Learning
2026 · Zhang, Hangrui, Shao, Feifei, et al. · arXiv (Cornell University)
PDF
Self-Distilled Agentic Reinforcement Learning
2026 · Lu, Zhengxi, Yao, Zhiyuan, et al. · arXiv (Cornell University)
PDF
Pause or Fabricate? Training Language Models for Grounded Reasoning
2026 · Qiu, Yiwen, Wu, Linjuan, et al. · arXiv (Cornell University)
PDF
ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents
2026 · Tang, Fei, Lu, Zhiqiong, et al. · arXiv (Cornell University)
PDF
GUI-G²: Gaussian Reward Modeling for GUI Grounding
2026 · Association for Artificial Intelligence 2026, Gu, Zhangxuan, et al. · Underline Science Inc.
CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
2026 · Wang, Keyu, Miao, Bingchen, et al. · arXiv (Cornell University)
PDF
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
2026 · Zhengxi Lu, Zhiyuan Yao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?
2026 · Zhenxuan Fan, Bo Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Works count: 13
Citation count:
H-index:
I10-index:
Year
Topic
Type