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cs.LG2026
Evaluating Robustness of Large Language Models in Enterprise Applications: Benchmarks for Perturbation Consistency Across Formats and Languages
Tara Bogavelli, Oluwanifemi Bamgbose, Gabrielle Gauthier Melançon +2
Enterprise LLM applications require consistently high quality and reliable performance across diverse scenarios, demanding robustness to minor variations. Existing research shows t…
cs.LG2022★ 1 cited
Azimuth: Systematic Error Analysis for Text Classification
Gabrielle Gauthier-Melançon, Orlando Marquez Ayala, Lindsay Brin +5
We present Azimuth, an open-source and easy-to-use tool to perform error analysis for text classification. Compared to other stages of the ML development cycle, such as model train…