AI RESEARCH
SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
arXiv CS.CL
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ArXi:2605.21384v1 Announce Type: cross As long-horizon coding agents produce code than any developer can review, oversight collapses onto a single surface: the automated test suite. Reward hacking naturally arises in this setup, as the agent optimizes for passing tests while deviating from the users true goal.