AIBullisharXiv – CS AI · 6h ago7/10
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From Context-Aware to Conflict-Aware: Generalizing Contrastive Decoding for Knowledge Conflict in LLMs
Researchers propose a conflict-aware paradigm for large language models that dynamically balances external context against parametric knowledge, addressing failures in existing contrastive decoding methods. The work introduces Adaptive Regime Routing (ARR) to resolve fundamental asymmetries in how models handle contradictory information, improving resistance to erroneous context by 3-5x while maintaining performance on correct context.