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cs.LG2026
RH-Detect: A Unified Benchmark for Reward Hacking Detection
Junwei Quan, Evgenii Opryshko, Rohan Subramani +1
Reward hacking, where a model exploits an evaluation signal without completing the intended task, threatens the reliability of deployed language model systems. Existing datasets us…
cs.AI2026
How does information access affect LLM monitors' ability to detect sabotage?
Rauno Arike, Raja Mehta Moreno, Rohan Subramani +2
Frontier language model agents can exhibit misaligned behaviors, including deception, exploiting reward hacks, and pursuing hidden objectives. To control potentially misaligned age…