Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
Pranjal Chitale, Bishal Santra, Yashoteja Prabhu, Amit Sharma
2025 Empirical Methods in Natural Language Processing | September 2025
Yashoteja Prabhu
Senior Researcher
论文与出版物
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MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
ICML 2025 | July 2025
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Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)
ICLR 2024 | April 2024
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Generalized Zero-Shot Extreme Multi-label Learning
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
2021 Knowledge Discovery and Data Mining | August 2021
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Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2020
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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International WWW Conference | April 2018
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Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2018
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Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
Himanshu Jain, Yashoteja Prabhu, Manik Varma
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
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FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
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Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
Proceedings of the International World Wide Web Conference | May 2013
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Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
Pranjal Chitale, Bishal Santra, Yashoteja Prabhu, Amit Sharma
2025 Empirical Methods in Natural Language Processing | September 2025
-
MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
ICML 2025 | July 2025
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Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)
ICLR 2024 | April 2024
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Generalized Zero-Shot Extreme Multi-label Learning
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
2021 Knowledge Discovery and Data Mining | August 2021
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Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2020
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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International WWW Conference | April 2018
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Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2018
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Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
Himanshu Jain, Yashoteja Prabhu, Manik Varma
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
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FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
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Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
Proceedings of the International World Wide Web Conference | May 2013
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MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
ICML 2025 | July 2025
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Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International WWW Conference | April 2018
-
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
-
-
-
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)
ICLR 2024 | April 2024
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Generalized Zero-Shot Extreme Multi-label Learning
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
2021 Knowledge Discovery and Data Mining | August 2021
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Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2020
-
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International WWW Conference | April 2018
-
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
Himanshu Jain, Yashoteja Prabhu, Manik Varma
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
-
Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
Proceedings of the International World Wide Web Conference | May 2013
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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International WWW Conference | April 2018
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Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
Pranjal Chitale, Bishal Santra, Yashoteja Prabhu, Amit Sharma
2025 Empirical Methods in Natural Language Processing | September 2025
-
MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
ICML 2025 | July 2025
-
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)
ICLR 2024 | April 2024
-
Generalized Zero-Shot Extreme Multi-label Learning
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
2021 Knowledge Discovery and Data Mining | August 2021
-
Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2020
-
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International WWW Conference | April 2018
-
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
ACM International Conference on Web Search and Data Mining | February 2018
-
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
Himanshu Jain, Yashoteja Prabhu, Manik Varma
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
-
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
-
Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
Proceedings of the International World Wide Web Conference | May 2013
-