Attending to Discriminative Certainty for Domain Adaptation. - Vinod Kumar Kurmi; Shanu Kumar; Vinay P. Namboodiri (CVPR, 2019)

Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. - Shanu Kumar; Shubham Atreja; Anjali Singh; Mohit Jain (WWW, 2019)

Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation. - Shanu Kumar; Vinod Kumar Kurmi; Praphul Singh; Vinay P. Namboodiri (CoRR, 2021)

Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models. - Kabir Ahuja; Shanu Kumar; Sandipan Dandapat; Monojit Choudhury (ACL (1), 2022)

"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer. - Shanu Kumar; Sandipan Dandapat; Monojit Choudhury (NAACL-HLT (Findings), 2022)

DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. - Shanu Kumar; Abbaraju Soujanya; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (EACL, 2023)

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation. - Shanu Kumar; Gauri Kholkar; Saish Mendke; Anubhav Sadana; Parag Agrawal; Sandipan Dandapat (CoRR, 2024)

SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. - Somnath Banerjee 002; Sayan Layek; Soham Tripathy; Shanu Kumar; Animesh Mukherjee 001; Rima Hazra (AAAI, 2025)

SCULPT: Systematic Tuning of Long Prompts. - Shanu Kumar; Akhila Yesantarao Venkata; Shubhanshu Khandelwal; Bishal Santra; Parag Agrawal; Manish Gupta 001 (ACL (1), 2025)

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection. - Shanu Kumar; Saish Mendke; Karody Lubna Abdul Rahman; Santosh Kurasa; Parag Agrawal; Sandipan Dandapat (COLING, 2025)

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models. - Somnath Banerjee 002; Sayan Layek; Hari Shrawgi; Rajarshi Mandal; Avik Halder; Shanu Kumar; Sagnik Basu; Parag Agrawal; Rima Hazra; Animesh Mukherjee 001 (NAACL (Long Papers), 2025)

READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data. - Rohit Sharma; Shanu Kumar; Avinash Kumar (CoRR, 2025)

Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs. - Sai Krishna Mendu; Harish Yenala; Aditi Gulati; Shanu Kumar; Parag Agrawal (CoRR, 2025)

Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations. - Somnath Banerjee 002; Pratyush Chatterjee; Shanu Kumar; Sayan Layek; Parag Agrawal; Rima Hazra; Animesh Mukherjee 001 (CoRR, 2025)