Improving Contextualized Topic Models with Negative Sampling. - Suman Adhya; Avishek Lahiri; Debarshi Kumar Sanyal; Partha Pratim Das 001 (ICON, 2022)

What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha. - Suman Adhya; Debarshi Kumar Sanyal (PoliticalNLP@LREC, 2022)

Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling. - Suman Adhya; Avishek Lahiri; Debarshi Kumar Sanyal (EACL, 2023)

Improving Neural Topic Models with Wasserstein Knowledge Distillation. - Suman Adhya; Debarshi Kumar Sanyal (ECIR (2), 2023)

GINopic: Topic Modeling with Graph Isomorphism Network. - Suman Adhya; Debarshi Kumar Sanyal (NAACL-HLT, 2024)

Evaluating Negative Sampling Approaches for Neural Topic Models. - Suman Adhya; Avishek Lahiri; Debarshi Kumar Sanyal; Partha Pratim Das 001 (IEEE Trans. Artif. Intell., 2024)

S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling. - Suman Adhya; Debarshi Kumar Sanyal (ACL (1), 2025)

DTECT: Dynamic Topic Explorer & Context Tracker. - Suman Adhya; Debarshi Kumar Sanyal (CoRR, 2025)