2 citations · 2 across the 2 of their papers we have counts for
3 papers
One Word is Enough: Minimal Adversarial Perturbations for Neural Text Ranking
Tanmay Karmakar, Sourav Saha, Debapriyo Majumdar +1
Neural ranking models (NRMs) achieve strong retrieval effectiveness, yet prior work has shown they are vulnerable to adversarial perturbations. We revisit this robustness question…
ir_explain: a Python Library of Explainable IR Methods
Sourav Saha, Harsh Agarwal, V Venktesh +4
While recent advancements in Neural Ranking Models have resulted in significant improvements over traditional statistical retrieval models, it is generally acknowledged that the us…
Explainability of Text Processing and Retrieval Methods: A Survey
Sourav Saha, Debapriyo Majumdar, Mandar Mitra
Deep Learning and Machine Learning based models have become extremely popular in text processing and information retrieval. However, the non-linear structures present inside the ne…