Yuvraj Jain

Explaining Differences Between Model Pairs in Natural Language through Sample Learning

With the growing adoption of machine learning models in critical domains, techniques for explaining differences between models have become essential for trust, debugging, and informed deployment. Previous approaches address this by identifying input transformations that cause divergent predictions o