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cs.CY2026
Test-Driven, AI-Assisted Learning: Replacing Lectures with Weekly Closed-Book Tests
Jin-Guo Liu, Shang-Qi Lu, Xin-Ran Shi +2
This paper is an experience report on a 13-week Test-Driven, AI-Assisted (TDAA) redesign of DSAA 3071, Theory of Computation, an upper-level course at the Hong Kong University of S…
cs.AI2026
Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning
Liuji Chen, Dianxing Tang, Xing Shi +4
Agentic reinforcement learning can induce tool abuse, where models overuse external tools even for queries solvable by internal reasoning. Existing approaches mitigate this issue w…