Author

Jonah Brown-Cohen

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#artificial intelligence Preprint Oct 2026

How to Have a Sensitive Debate: An Instance-Optimal Protocol for AI Debate

As powerful AI systems reach and sometimes surpass the abilities of human experts across a range of cognitively demanding tasks, the problem of accurate oversight and supervision of these systems has become increasingly urgent. One promising approach is AI debate, which seeks to leverage a debate between two powerful A...

Jia-Wei Li, Zhi-Yang Xun, Li-Jie Chen et al. · 0 citations

#machine learning Preprint Aug 2026

Debate Training Reduces Reward Hacking in RLAIF

We demonstrate that RL finetuning an LLM using debate, a two-player adversarial game between a generator and a critic adjudicated by a weaker LLM judge, reduces reward hacking compared to a reinforcement learning from AI feedback (RLAIF) baseline. Reward hacking is a central obstacle in RLAIF: as training progresses, t...

Zachary Kenton, Lili Janzer, Rory Greig et al. · 1 citation