Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Jiawei Zhou

Jiawei Zhou

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Robotics×1AI×1

Frequent co-authors

Luzhe Sun1×
Jingtian Ji1×
Haoran Chen1×
Matthew R. Walter1×
Haoyan Yang1×
Reza Shirkavand1×

Research Timeline

2026
Capability Self-Assessment: Teaching LLMs to Know Their Limits

This paper introduces Capability Self-Assessment (CSA), a crucial ability for LLMs to recognize their limitations, and demonstrates that reinforcement learning is an effective method for teaching this skill without degrading the model's core capabilities.

Flow-based Policy Adaptation without Policy Updates

GLOVES is a flow-based adaptation method that selectively corrects non-expert robot actions by guiding them toward a task-specific expert action distribution, thereby improving performance while maintaining agent autonomy.

Highlighted terms show continued research focus across papers

Papers

cs.RORecentJun 4, 2026

Flow-based Policy Adaptation without Policy Updates

Luzhe Sun, Jingtian Ji, Haoran Chen, Jiawei Zhou +1 more

GLOVES is a flow-based adaptation method that selectively corrects non-expert robot actions by guiding them toward a task-specific expert action distribution, thereby improving performance while maint…

View →
cs.AIRecentMay 29, 2026

Capability Self-Assessment: Teaching LLMs to Know Their Limits

Haoyan Yang, Reza Shirkavand, Yukai Jin, Jiawei Zhou +2 more

This paper introduces Capability Self-Assessment (CSA), a crucial ability for LLMs to recognize their limitations, and demonstrates that reinforcement learning is an effective method for teaching this…

View →