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cs.AI2026
Positive-Unlabeled Learning for Agent Safety False Alarm Auditing
Xichen Yan, Chongyang Gao, Kezhen Chen +3
Safety monitors help safeguard language-model agents interacting with external tools and environments, but conservative monitoring can generate many false alarms, consuming extensi…
cs.AI2026
Classroom Final Exam: An Instructor-Tested Reasoning Benchmark
Chongyang Gao, Diji Yang, Shuyan Zhou +4
We introduce CFE-Bench (Classroom Final Exam), a multimodal benchmark for evaluating the reasoning capabilities of large language models across more than 20 STEM domains. CFE-Bench…