Karthik Raman - RankMe

42 papers A* 10A 3B 1Journal 20Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Refract ICL: Rethinking Example Selection in the Era of Million-Token Models. CoRR Arjun R. Akula, Kazuma Hashimoto, Krishna Srinivasan, Aditi Chaudhary, Karthik Raman, Michael Bendersky
2024	—	`conf`	It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. NAACL-HLT (Findings) Aditi Chaudhary, Karthik Raman, Michael Bendersky
2024	—	`conf`	Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. NAACL-HLT Kazuma Hashimoto, Karthik Raman, Michael Bendersky
2023	J	`jnl`	Ambiguity-Aware In-Context Learning with Large Language Models. CoRR Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky
2023	—	`conf`	Exploring the Viability of Synthetic Query Generation for Relevance Prediction. eCom@SIGIR Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
2023	J	`jnl`	Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
2023	A*	`conf`	FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2023	J	`jnl`	It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. CoRR Aditi Chaudhary, Karthik Raman, Michael Bendersky
2023	J	`jnl`	Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. CoRR Kazuma Hashimoto, Karthik Raman, Michael Bendersky
2022	J	`jnl`	FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	J	`jnl`	GROOT: Corrective Reward Optimization for Generative Sequential Labeling. CoRR Kazuma Hashimoto, Karthik Raman
2022	J	`jnl`	How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? CoRR Kazuma Hashimoto, Iftekhar Naim, Karthik Raman
2022	J	`jnl`	Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	—	`conf`	QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation. EMNLP (Industry Track) Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Michael Bendersky
2022	J	`jnl`	QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation. CoRR Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Mike Bendersky
2022	A*	`conf`	Transforming Sequence Tagging Into A Seq2Seq Task. EMNLP Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan
2022	J	`jnl`	Transforming Sequence Tagging Into A Seq2Seq Task. CoRR Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan
2021	A*	`conf`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2021	J	`jnl`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2020	J	`jnl`	DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries. CoRR Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen
2020	J	`jnl`	DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	—	`conf`	DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	A*	`conf`	Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. AAAI Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
2020	J	`jnl`	Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0). CoRR Shailesh Bavadekar, Andrew M. Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, Gerardo Flores, Evgeniy Gabrilovich, Krishna Gadepalli, Shane Glass, Rayman Huang, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi
2019	J	`jnl`	Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. CoRR Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
2019	J	`jnl`	Learning Multilingual Word Embeddings Using Image-Text Data. CoRR Karan Singhal, Karthik Raman, Balder ten Cate
2016	—	`conf`	Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015. Solving Large Scale Learning Tasks Thorsten Joachims, Karthik Raman
2015	B	`conf`	Bayesian Ordinal Peer Grading. L@S Karthik Raman, Thorsten Joachims
2014	J	`jnl`	Methods for Ordinal Peer Grading. CoRR Karthik Raman, Thorsten Joachims
2014	A*	`conf`	Methods for ordinal peer grading. KDD Karthik Raman, Thorsten Joachims
2014	J	`jnl`	Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance. ACM Trans. Inf. Syst. Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
2013	A*	`conf`	Beyond myopic inference in big data pipelines. KDD Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims
2013	—	`conf`	Learning Socially Optimal Information Systems from Egoistic Users. ECML/PKDD (2) Karthik Raman, Thorsten Joachims
2013	—	`conf`	Stable Coactive Learning via Perturbation. ICML (3) Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel
2013	A*	`conf`	Toward whole-session relevance: exploring intrinsic diversity in web search. SIGIR Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
2012	A	`conf`	Learning from mistakes: towards a correctable learning algorithm. CIKM Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges
2012	A*	`conf`	Online learning to diversify from implicit feedback. KDD Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims
2011	J	`jnl`	Structured Learning of Two-Level Dynamic Rankings CoRR Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy
2011	A	`conf`	Structured learning of two-level dynamic rankings. CIKM Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy
2010	A*	`conf`	Multilingual PRF: english lends a helping hand. SIGIR Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya
2010	A*	`conf`	Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages. ACL Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya
2010	A	`conf`	On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents. ECIR Karthik Raman, Raghavendra Udupa, Pushpak Bhattacharyya, Abhijit Bhole