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ORCIDKarthik Raman 0001
Person information
- affiliation: Google
- affiliation (former): Microsoft Research
- affiliation (former): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Karthik Raman — disambiguation page
- Karthik Raman 0002
![[0000-0002-9311-7093]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9311-7093")
— Indian Institute of Technology Madras, Bhupat, India (and 1 more)
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2020 – today
- 2023
[c20]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- [c19]Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR 2023: 1437-1447 - [i18]Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork:
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR abs/2305.11944 (2023) - [i17]Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky:
Ambiguity-Aware In-Context Learning with Large Language Models. CoRR abs/2309.07900 (2023) - [i16]Aditi Chaudhary, Karthik Raman, Michael Bendersky:
It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. CoRR abs/2311.07930 (2023) - [i15]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 abs/2311.09619 (2023) - 2022
- [c18]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: 492-501 - [c17]Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan:
Transforming Sequence Tagging Into A Seq2Seq Task. EMNLP 2022: 11856-11874 - [i14]Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan:
Transforming Sequence Tagging Into A Seq2Seq Task. CoRR abs/2203.08378 (2022) - [i13]Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR abs/2207.03030 (2022) - [i12]Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR abs/2209.14290 (2022) - [i11]Kazuma Hashimoto, Karthik Raman:
GROOT: Corrective Reward Optimization for Generative Sequential Labeling. CoRR abs/2209.14694 (2022) - [i10]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 abs/2210.15718 (2022) - [i9]Kazuma Hashimoto, Iftekhar Naim, Karthik Raman:
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? CoRR abs/2212.10767 (2022) - 2021
- [c16]Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR 2021: 2443-2449 - [i8]Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR abs/2103.01913 (2021) - 2020
- [c15]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: 8854-8861 - [c14]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: 2925-2937 - [i7]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 abs/2009.01265 (2020) - [i6]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 abs/2010.03099 (2020) - [i5]Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen:
DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries. CoRR abs/2010.12566 (2020)
2010 – 2019
- 2019
- [i4]Karan Singhal, Karthik Raman, Balder ten Cate:
Learning Multilingual Word Embeddings Using Image-Text Data. CoRR abs/1905.12260 (2019) - [i3]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 abs/1909.00437 (2019) - 2016
- [c13]Thorsten Joachims, Karthik Raman:
Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015. Solving Large Scale Learning Tasks 2016: 286-299 - 2015
- [c12]Karthik Raman, Thorsten Joachims:
Bayesian Ordinal Peer Grading. L@S 2015: 149-156 - 2014
- [j1]Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson:
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance. ACM Trans. Inf. Syst. 32(4): 20:1-20:45 (2014) - [c11]Karthik Raman, Thorsten Joachims:
Methods for ordinal peer grading. KDD 2014: 1037-1046 - [i2]Karthik Raman, Thorsten Joachims:
Methods for Ordinal Peer Grading. CoRR abs/1404.3656 (2014) - 2013
- [c10]Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel:
Stable Coactive Learning via Perturbation. ICML (3) 2013: 837-845 - [c9]Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims:
Beyond myopic inference in big data pipelines. KDD 2013: 86-94 - [c8]Karthik Raman, Thorsten Joachims:
Learning Socially Optimal Information Systems from Egoistic Users. ECML/PKDD (2) 2013: 128-144 - [c7]Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson:
Toward whole-session relevance: exploring intrinsic diversity in web search. SIGIR 2013: 463-472 - 2012
- [c6]Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges:
Learning from mistakes: towards a correctable learning algorithm. CIKM 2012: 1930-1934 - [c5]Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims:
Online learning to diversify from implicit feedback. KDD 2012: 705-713 - 2011
- [c4]Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy:
Structured learning of two-level dynamic rankings. CIKM 2011: 291-296 - [i1]Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy:
Structured Learning of Two-Level Dynamic Rankings. CoRR abs/1108.2754 (2011) - 2010
- [c3]Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya:
Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages. ACL 2010: 1346-1356 - [c2]Karthik Raman, Raghavendra Udupa, Pushpak Bhattacharyya, Abhijit Bhole:
On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents. ECIR 2010: 573-576 - [c1]Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya:
Multilingual PRF: english lends a helping hand. SIGIR 2010: 659-666
Coauthor Index
aka: Mike Bendersky
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