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cs.AI2026
ParEvalLayer: When Partial LLM-Agent Evaluations Support a Decision
Wei-Jung Huang, Bonan Shen
LLM-agent evaluations often produce task outcomes long before the full benchmark run is complete. A partial score is tempting to report, but it does not show whether the observed t…
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…