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ORCIDShanu Kumar
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2020 – today
- 2025
[c6]Shanu Kumar, Saish Mendke, Karody Lubna Abdul Rahman, Santosh Kurasa, Parag Agrawal, Sandipan Dandapat:
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection. COLING 2025: 2003-2025- [i12]Rohit Sharma, Shanu Kumar, Avinash Kumar:
READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data. CoRR abs/2501.08035 (2025) - 2024
- [i11]Somnath Banerjee, Soham Tripathy, Sayan Layek, Shanu Kumar, Animesh Mukherjee, Rima Hazra
:
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. CoRR abs/2406.12274 (2024) - [i10]Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee:
Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models. CoRR abs/2410.12880 (2024) - [i9]Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal, Bishal Santra, Parag Agrawal, Manish Gupta:
SCULPT: Systematic Tuning of Long Prompts. CoRR abs/2410.20788 (2024) - [i8]Shanu Kumar, Saish Mendke, Karody Lubna Abdul Rahman, Santosh Kurasa, Parag Agrawal, Sandipan Dandapat:
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection. CoRR abs/2412.00353 (2024) - [i7]Shanu Kumar, Gauri Kholkar, Saish Mendke, Anubhav Sadana, Parag Agrawal, Sandipan Dandapat:
Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation. CoRR abs/2412.13578 (2024) - 2023
- [c5]Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. EACL 2023: 385-406 - [i6]Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. CoRR abs/2303.02357 (2023) - 2022
- [c4]Kabir Ahuja, Shanu Kumar, Sandipan Dandapat, Monojit Choudhury:
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models. ACL (1) 2022: 5454-5467 - [c3]Shanu Kumar, Sandipan Dandapat, Monojit Choudhury:
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer. NAACL-HLT (Findings) 2022: 1042-1055 - [i5]Kabir Ahuja, Shanu Kumar, Sandipan Dandapat, Monojit Choudhury:
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models. CoRR abs/2205.06130 (2022) - [i4]Shanu Kumar, Sandipan Dandapat, Monojit Choudhury:
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer. CoRR abs/2206.15010 (2022) - 2021
- [i3]Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh, Vinay P. Namboodiri:
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation. CoRR abs/2107.00727 (2021)
2010 – 2019
- 2019
- [c2]Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri:
Attending to Discriminative Certainty for Domain Adaptation. CVPR 2019: 491-500 - [c1]Shanu Kumar, Shubham Atreja, Anjali Singh, Mohit Jain:
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. WWW 2019: 2943-2949 - [i2]Shanu Kumar, Shubham Atreja, Anjali Singh, Mohit Jain:
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. CoRR abs/1901.10124 (2019) - [i1]Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri:
Attending to Discriminative Certainty for Domain Adaptation. CoRR abs/1906.03502 (2019)
Coauthor Index
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