Nilesh Gupta - RankMe

19 papers A* 3A 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders. CoRR Benjamin Rozonoyer, Chong You, Michael Boratko, Himanshu Jain, Nilesh Gupta, Srinadh Bhojanapalli, Andrew McCallum, Felix Yu
2026	J	`jnl`	Compute Allocation for Reasoning-Intensive Retrieval Agents. CoRR Sreeja Apparaju, Nilesh Gupta
2026	J	`jnl`	LUCID: Attention with Preconditioned Representations. CoRR Sai Surya Duvvuri, Nirmal Patel, Nilesh Gupta, Inderjit S. Dhillon
2025	J	`jnl`	Compressing Many-Shots in In-Context Learning. CoRR 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
2025	J	`jnl`	LLM-guided Hierarchical Retrieval. CoRR Nilesh Gupta, Wei-Cheng Chang, Ngot Bui, Cho-Jui Hsieh, Inderjit S. Dhillon
2025	J	`jnl`	Scalable In-context Ranking with Generative Models. CoRR Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit S. Dhillon, Felix X. Yu
2024	A*	`conf`	Dual-Encoders for Extreme Multi-label Classification. ICLR Nilesh Gupta, Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon
2024	J	`jnl`	EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. Trans. Mach. Learn. Res. Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain
2024	—	`conf`	Exploring Design Choices for Building Language-Specific LLMs. EMNLP (Findings) Atula Tejaswi, Nilesh Gupta, Eunsol Choi
2024	J	`jnl`	Exploring Design Choices for Building Language-Specific LLMs. CoRR Atula Tejaswi, Nilesh Gupta, Eunsol Choi
2023	J	`jnl`	EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. CoRR Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain
2023	J	`jnl`	Efficacy of Dual-Encoders for Extreme Multi-Label Classification. CoRR Nilesh Gupta, Devvrit Khatri, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon
2023	A	`conf`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM 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
2022	A*	`conf`	ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. NeurIPS Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2022	J	`jnl`	End-to-End Learning to Index and Search in Large Output Spaces. CoRR Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2022	J	`jnl`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR 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
2021	A*	`conf`	Generalized Zero-Shot Extreme Multi-label Learning. KDD Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
2020	A	`conf`	Extreme Regression for Dynamic Search Advertising. WSDM Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
2020	J	`jnl`	Extreme Regression for Dynamic Search Advertising. CoRR Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma