collaborators

7 papers

cs.AI2026

Safety, or Just Capability? A Validity Audit of Agent-Safety Benchmarks

Youting Wang, Xiao Han, Dingyan Shang +2

Agent-safety benchmarks measure different behaviors, and their scores get quoted interchangeably as an agent's safety. We treat four of them (R-Judge, InjecAgent, AgentHarm, AgentD…

cs.AI2026

Context-Masked Truncated Reasoning Audits for Answer-Key Dependence in LLM Tutors

Bonan Shen, Dingyan Shang, Youting Wang +2

Large language model (LLM) tutors may have access to teacher notes, answer keys, rubrics, or retrieved solutions while producing student-facing explanations. We study whether trunc…

cs.AI2026

Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit Hacking

Bonan Shen, Youting Wang, Dingyan Shang +1

Implicit reward hacking is hard to audit when a language model's chain of thought appears benign: a final answer may be anchored by a prompt shortcut while the written reasoning st…

cs.CV2026

VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents

Youting Wang, Yuan Tang, Yitian Qian +1

Vision-language agents increasingly consume screenshots, documents, and user interfaces before writing to memory, sending messages, or invoking external tools. We study a concrete…

cs.LG2026

When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL

Youting Wang, Yuan Tang, Bowen Liu +2

For sparse, structured reinforcement-learning tasks with semantic reward-function interfaces, LLM-generated reward shaping is better framed as debugging than one-shot generation. W…

cs.SE2026

Names Are All You Need: Effective and Safe Regression Test Selection for Python

You Wang, Michael Pradel, Zhongxin Liu

Regression test selection reduces the cost of regression testing by executing only those tests affected by a code change. Despite extensive study of RTS in statically typed languag…