Karthik Raman

According to our database, Karthik Raman authored at least 32 papers between 2010 and 2024.

Collaborative distances:

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

2024

Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning.

Kazuma Hashimoto, Karthik Raman, Michael Bendersky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction.

Aditi Chaudhary, Karthik Raman, Michael Bendersky

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

2023

Ambiguity-Aware In-Context Learning with Large Language Models.

Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky

CoRR, 2023

FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation.

Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Exploring the Viability of Synthetic Query Generation for Relevance Prediction.

Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022

How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?

Kazuma Hashimoto, Iftekhar Naim, Karthik Raman

CoRR, 2022

GROOT: Corrective Reward Optimization for Generative Sequential Labeling.

Kazuma Hashimoto, Karthik Raman

CoRR, 2022

Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling.

Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani

CoRR, 2022

QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation.

Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Michael Bendersky

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Transforming Sequence Tagging Into A Seq2Seq Task.

Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning.

Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries.

Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen

CoRR, 2020

DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling.

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

CoRR, 2020

Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0).

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

CoRR, 2020

DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling.

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

CoRR, 2019

Learning Multilingual Word Embeddings Using Image-Text Data.

Karan Singhal, Karthik Raman, Balder ten Cate

CoRR, 2019

2016

Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015.

Thorsten Joachims, Karthik Raman

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

Bayesian Ordinal Peer Grading.

Karthik Raman, Thorsten Joachims

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

2014

Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance.

Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson

ACM Trans. Inf. Syst., 2014

Methods for ordinal peer grading.

Karthik Raman, Thorsten Joachims

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Toward whole-session relevance: exploring intrinsic diversity in web search.

Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Learning Socially Optimal Information Systems from Egoistic Users.

Karthik Raman, Thorsten Joachims

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Beyond myopic inference in big data pipelines.

Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Stable Coactive Learning via Perturbation.

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Online learning to diversify from implicit feedback.

Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning from mistakes: towards a correctable learning algorithm.

Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Structured learning of two-level dynamic rankings.

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Multilingual PRF: english lends a helping hand.

Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents.

Karthik Raman, Raghavendra Udupa, Pushpak Bhattacharyya, Abhijit Bhole

Proceedings of the Advances in Information Retrieval, 2010

Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages.

Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya

Proceedings of the ACL 2010, 2010