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

Bo Wu

2 indexed papers

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

Publications per year

2
26

Top categories

Robotics×1AI×1Multiagent×1Crypto×1Software Eng.×1

Frequent co-authors

Runyu Lu1×
Yubo Wu1×
Ethan Kou1×
Letian Fu1×
Wenli Xiao1×
Ajay Mandlekar1×

Research Timeline

2026
How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

The paper demonstrates that using raw source text for fine-tuning LLMs on vulnerability detection causes high false-positive rates by memorizing surface-level syntax, a problem mitigated by using Abstract Syntax Trees (ASTs) during inference.

ASPIRE: Agentic /Skills Discovery for Robotics

ASPIRE is a continual learning system that autonomously writes and refines robot control programs in a code-as-policy paradigm, discovering transferable skills and surpassing prior methods on various manipulation tasks.

Highlighted terms show continued research focus across papers

Papers

cs.ROcs.AIcs.MAEmpiricalRecentJun 30, 2026

ASPIRE: Agentic /Skills Discovery for Robotics

Runyu Lu, Yubo Wu, Ethan Kou, Letian Fu +10 more

ASPIRE is a continual learning system that autonomously writes and refines robot control programs in a code-as-policy paradigm, discovering transferable skills and surpassing prior methods on various…

View →
cs.CRcs.SERecent
Apr 30, 2026

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

Maofei Chen, Laifu Wang, Yue Qin, Yuan Wang +2 more

The paper demonstrates that using raw source text for fine-tuning LLMs on vulnerability detection causes high false-positive rates by memorizing surface-level syntax, a problem mitigated by using Abst…

View →