IR-IITBHU at TREC 2016 Open Search Track: Retrieving documents using Divergence From Randomness model in Terrier. - Mitodru Niyogi; Sukomal Pal (TREC, 2016)

Business: Do you wanna sell more? Discovering Topics, Sentiments and Prediction of Ratings. - Mitodru Niyogi; Asim Kumar Pal (ICCCT, 2017)

Discovering conversational topics and emotions associated with Demonetization tweets in India. - Mitodru Niyogi; Asim K. Pal (CoRR, 2017)

Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora. - Mitodru Niyogi; Kripabandhu Ghosh; Arnab Bhattacharya 001 (CoRR, 2018)

Paramanu: A Family of Novel Efficient Indic Generative Foundation Language Models. - Mitodru Niyogi; Arnab Bhattacharya 001 (CoRR, 2024)

Neural Models for Source Code Synthesis and Completion. - Mitodru Niyogi (CoRR, 2024)

PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents. - Mitodru Niyogi; Arnab Bhattacharya 001 (CoRR, 2024)

PARAMANU-GANITA: Language Model with Mathematical Capabilities. - Mitodru Niyogi; Arnab Bhattacharya 001 (CoRR, 2024)