Multi-Reward Hacking: From Aggregation-Induced Drift to Trust-Anchored Defense.
arXiv:2610.21404v1 Announce Type: cross Abstract: To improve task performance while encouraging desirable response properties, LLM post-training often combines a primary reward (e.g., correctness) with auxiliary rewards (e.g., brevity or efficiency). However,
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