Karthik Raman

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 25

Top Topics

Query Generation

Bilingual Dictionaries

Peer Assessment

Top Venues

Publications

Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. NAACL-HLT (2024)
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR (2023)
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR (2023)
Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Ambiguity-Aware In-Context Learning with Large Language Models. CoRR (2023)
Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. CoRR (2023)
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. eCom@SIGIR (2023)
Aditi Chaudhary, Karthik Raman, Michael Bendersky
It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. CoRR (2023)
Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan
Transforming Sequence Tagging Into A Seq2Seq Task. EMNLP (2022)
Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan
Transforming Sequence Tagging Into A Seq2Seq Task. CoRR (2022)
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR (2022)
Kazuma Hashimoto, Karthik Raman
GROOT: Corrective Reward Optimization for Generative Sequential Labeling. CoRR (2022)
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR (2022)
Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Mike Bendersky
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation. CoRR (2022)
Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Michael Bendersky
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation. EMNLP (Industry Track) (2022)
Kazuma Hashimoto, Iftekhar Naim, Karthik Raman
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? CoRR (2022)
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR (2021)
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR (2021)
Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. AAAI (2020)
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR (2020)
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
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0). CoRR (2020)
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen
DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries. CoRR (2020)
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) (2020)
Karan Singhal, Karthik Raman, Balder ten Cate
Learning Multilingual Word Embeddings Using Image-Text Data. CoRR (2019)
Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. CoRR (2019)
Thorsten Joachims, Karthik Raman
Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015. Solving Large Scale Learning Tasks (2016)
Karthik Raman, Thorsten Joachims
Bayesian Ordinal Peer Grading. L@S (2015)
Karthik Raman, Thorsten Joachims
Methods for Ordinal Peer Grading. CoRR (2014)
Karthik Raman, Thorsten Joachims
Methods for ordinal peer grading. KDD (2014)
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance. ACM Trans. Inf. Syst. 32 (4) (2014)
Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims
Beyond myopic inference in big data pipelines. KDD (2013)
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel
Stable Coactive Learning via Perturbation. ICML (3) (2013)
Karthik Raman, Thorsten Joachims
Learning Socially Optimal Information Systems from Egoistic Users. ECML/PKDD (2) (2013)
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
Toward whole-session relevance: exploring intrinsic diversity in web search. SIGIR (2013)
Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges
Learning from mistakes: towards a correctable learning algorithm. CIKM (2012)
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims
Online learning to diversify from implicit feedback. KDD (2012)
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy
Structured learning of two-level dynamic rankings. CIKM (2011)
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy
Structured Learning of Two-Level Dynamic Rankings CoRR (2011)
Karthik Raman, Raghavendra Udupa, Pushpak Bhattacharyya, Abhijit Bhole
On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents. ECIR (2010)
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya
Multilingual PRF: english lends a helping hand. SIGIR (2010)
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya
Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages. ACL (2010)