Shanu Kumar

According to our database, Shanu Kumar authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations.

Somnath Banerjee, Pratyush Chatterjee, Shanu Kumar, Sayan Layek, Parag Agrawal, Rima Hazra, Animesh Mukherjee

CoRR, May, 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, May, 2025

READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data.

Rohit Sharma, Shanu Kumar, Avinash Kumar

CoRR, January, 2025

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models.

Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

SCULPT: Systematic Tuning of Long Prompts.

Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal, Bishal Santra, Parag Agrawal, Manish Gupta

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models.

Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee, Rima Hazra

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation.

Shanu Kumar, Gauri Kholkar, Saish Mendke, Anubhav Sadana, Parag Agrawal, Sandipan Dandapat

CoRR, 2024

2023

DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer.

Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer.

Shanu Kumar, Sandipan Dandapat, Monojit Choudhury

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models.

Kabir Ahuja, Shanu Kumar, Sandipan Dandapat, Monojit Choudhury

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation.

Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh, Vinay P. Namboodiri

CoRR, 2021

2019

Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues.

Shanu Kumar, Shubham Atreja, Anjali Singh, Mohit Jain

Proceedings of the World Wide Web Conference, 2019

Attending to Discriminative Certainty for Domain Adaptation.

Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019