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All SourcesarXiv
#robustness benchmarking

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors

Intermediate
Seongyun Lee, Yongrae Jo et al.Jan 12arXiv

The paper shows that when we give AI lots of extra text, even harmless extra text, it can get badly confused—sometimes losing up to 80% of its accuracy.

#NoisyBench#Rationale-Aware Reward#RARE