collaborators

11 papers

cs.AI2026

Skill Use or Skill Theater? Evaluating the Reasoning Backroom in Skill-Augmented Language Agents

Jinwei Hu, Yi Qi, Xinmiao Huang +3

Reusable skills are becoming a standard interface for extending language agents with task procedures. Yet evaluators usually infer skill use from visible reasoning or the agent's o…

cs.OS2026

SuperPass: Fast-Tracking Blocking Threads to Mitigate Priority Inversion on Mobile Devices

Lei Li, Yu Liang, Riwei Pan +4

Priority inversion occurs when a high-priority thread is delayed by a lower-priority one. Although well studied in real-time systems, its impact in general-purpose OSes (e.g., Andr…

cs.AI2026

Skill Coverage: A Test Adequacy Metric for Agent Skills

Boyin Tan, Xiaowei Huang, Youcheng Sun

Agent skills encode reusable procedural knowledge for large language model (LLM) agents, and existing benchmarks show that such skills can improve task-level performance. However,…

cs.SE2026

SkillFuzz: Fuzzing Skill Composition for Implicit Intents Discovery in Open Skill Marketplaces

Jinwei Hu, Yi Dong, Youcheng Sun +1

Large Language Model (LLM)-based agents increasingly automate software engineering tasks through reusable skills, natural-language instruction documents that guide planning and exe…

cs.SE2026

Agentic Model Checking

Youcheng Sun, Jiawen Liu, Daniel Kroening +1

Verifying LLM-generated systems code is hard: bugs are prevalent, formal specifications are missing, and safety contracts are encoded implicitly at call sites rather than enforced…

cs.AI2026

Responsible Agentic AI Requires Explicit Provenance

Jinwei Hu, Xinmiao Huang, Qisong He +3

Agentic AI is rapidly proliferating across diverse real-world domains such as software engineering, yet public trust has not kept pace. The central reason is that responsibility, d…