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When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming

The study presents a mechanistic taxonomy and diagnostic pipeline to track how failures like reward hacking and policy collapse emerge during reinforcement learning from human feedback.

Impact
42/100
Current rank score
20.5
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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