Analyzing Semantic Faithfulness of Language Models via Input Intervention on Conversational Question Answering. - Akshay Chaturvedi; Swarnadeep Bhar; Soumadeep Saha; Utpal Garain; Nicholas Asher (CoRR, 2022)

DOST - Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels. - Soumadeep Saha; Utpal Garain; Arijit Ukil; Arpan Pal 001; Sundeep Khandelwal (CoRR, 2023)

ChessVision - A Dataset for Logically Coherent Multi-label Classification. - Soumadeep Saha; Utpal Garain (CoRR, 2023)

LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications. - Rahul Shah 002; Soumadeep Saha; Purba Mukherjee; Utpal Garain; Supratik Pal (CoRR, 2024)

Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions. - Rahul Shah 002; Purba Mukherjee; Soumadeep Saha; Utpal Garain; Supratik Pal (CoRR, 2024)

Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering. - Akshay Chaturvedi; Swarnadeep Bhar; Soumadeep Saha; Utpal Garain; Nicholas Asher (Comput. Linguistics, 2024)

On Measuring Intrinsic Causal Attributions in Deep Neural Networks. - Saptarshi Saha; Dhruv Vansraj Rathore; Soumadeep Saha; David S. Doermann; Utpal Garain (CLeaR, 2025)

Language Models are Crossword Solvers. - Soumadeep Saha; Sutanoya Chakraborty; Saptarshi Saha; Utpal Garain (NAACL (Long Papers), 2025)

sudoLLM : On Multi-role Alignment of Language Models. - Soumadeep Saha; Akshay Chaturvedi; Joy Mahapatra; Utpal Garain (CoRR, 2025)

KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning? - Soumadeep Saha; Akshay Chaturvedi; Saptarshi Saha; Utpal Garain; Nicholas Asher (CoRR, 2025)