Presented by Marco Tulio Ribeiro (Microsoft) on December 2, 2022.

Abstract:
I will start by presenting Adaptive Testing and Debugging of NLP Models (AdaTest), where we propose a process and tool that leverages the complementary strengths of humans and language models to find and fix bugs in NLP models.
I will then present a variety of follow up work that builds on similar ideas to test vision models, patch models with natural language, and avoid conflicts and interference between debugging attempts.

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