Brittlebench: Quantifying LLM robustness via prompt sensitivity.

arXiv:2603.13285v4 Announce Type: replace-cross Abstract: Existing evaluation methods largely rely on clean, static benchmarks, which can overestimate true model performance by failing to capture the noise and variability inherent in real-world user inputs. Th