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Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion
arXiv cs.CL — Computation and Language
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What the source reports
Research shows character-level typos and filler text significantly degrade LLM performance on multi-step reasoning tasks.
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