28 citations · 29 across the 3 of their papers we have counts for
3 papers
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…
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…
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Javier Antorán, Yunfeng Zhang +12
Algorithmic transparency entails exposing system properties to various stakeholders for purposes that include understanding, improving, and contesting predictions. Until now, most…