3 papers
cs.IR2026
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…
cs.IR2026
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…
cs.IR2025
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…