31 citations · 54 across the 12 of their papers we have counts for
3 papers · 1 filter
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language
Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar +4
Machine learning and deep learning-based decision making has become part of today's software. The goal of this work is to ensure that machine learning and deep learning-based syste…
Plug and Play Counterfactual Text Generation for Model Robustness
Nishtha Madaan, Srikanta Bedathur, Diptikalyan Saha
Generating counterfactual test-cases is an important backbone for testing NLP models and making them as robust and reliable as traditional software. In generating the test-cases, a…
TransDrift: Modeling Word-Embedding Drift using Transformer
Nishtha Madaan, Prateek Chaudhury, Nishant Kumar +1
In modern NLP applications, word embeddings are a crucial backbone that can be readily shared across a number of tasks. However as the text distributions change and word semantics…