LLM Robustness to Character-Level Perturbations
AFBytes Brief
This paper investigates the capacity of large language models to manage character-level perturbations in input text. Experiments measure performance degradation under controlled alterations. Findings inform future model training and evaluation practices.
Why this matters
The work contributes to understanding model reliability in technical settings.
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The research does not implicate privacy or due-process protections.
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