Nilesh Gupta

According to our database, Nilesh Gupta authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Compute Allocation for Reasoning-Intensive Retrieval Agents.

Sreeja Apparaju, Nilesh Gupta

CoRR, March, 2026

LUCID: Attention with Preconditioned Representations.

Sai Surya Duvvuri, Nirmal Patel, Nilesh Gupta, Inderjit S. Dhillon

CoRR, February, 2026

Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders.

Benjamin Rozonoyer, Chong You, Michael Boratko, Himanshu Jain, Nilesh Gupta, Srinadh Bhojanapalli, Andrew McCallum, Felix Yu

CoRR, January, 2026

2025

Compressing Many-Shots in In-Context Learning.

Devvrit Khatri, Pranamya Kulkarni, Nilesh Gupta, Yerram Varun, Liqian Peng, Jay Yagnik, Praneeth Netrapalli, Cho-Jui Hsieh, Alec Go, Inderjit S. Dhillon, Aditya Kusupati, Prateek Jain

CoRR, October, 2025

LLM-guided Hierarchical Retrieval.

Nilesh Gupta, Wei-Cheng Chang, Ngot Bui, Cho-Jui Hsieh, Inderjit S. Dhillon

CoRR, October, 2025

Scalable In-context Ranking with Generative Models.

Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit S. Dhillon, Felix X. Yu

CoRR, October, 2025

2024

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval.

Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain

Trans. Mach. Learn. Res., 2024

Dual-Encoders for Extreme Multi-label Classification.

Nilesh Gupta, Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Design Choices for Building Language-Specific LLMs.

Atula Tejaswi, Nilesh Gupta, Eunsol Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Efficacy of Dual-Encoders for Extreme Multi-Label Classification.

Nilesh Gupta, Devvrit Khatri, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon

CoRR, 2023

NGAME: Negative Mining-aware Mini-batching for Extreme Classification.

Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

End-to-End Learning to Index and Search in Large Output Spaces.

Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

CoRR, 2022

ELIAS: End-to-End Learning to Index and Search in Large Output Spaces.

Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Generalized Zero-Shot Extreme Multi-label Learning.

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Extreme Regression for Dynamic Search Advertising.

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020