| 2024 | NAACL | It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. | Aditi Chaudhary, Karthik Raman, Michael Bendersky |
| 2024 | NAACL | 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 |
| 2023 | SIGIR | FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. | Sebastian Hofsttter, Jiecao Chen, Karthik Raman, Hamed Zamani |
| 2022 | EMNLP | Transforming Sequence Tagging Into A Seq2Seq Task. | Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan |
| 2022 | EMNLP | 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 |
| 2021 | SIGIR | WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. | Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork |
| 2020 | AAAI | 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 |
| 2020 | EMNLP | 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 |
| 2016 | SC | Increasing molecular dynamics simulation rates with an 8-fold increase in electrical power efficiency. | W. Michael Brown, Andrey Semin, Michael Hebenstreit, Sergey Khvostov, Karthik Raman, Steven J. Plimpton |
| 2014 | KDD | Methods for ordinal peer grading. | Karthik Raman, Thorsten Joachims |
| 2013 | ICML | Stable Coactive Learning via Perturbation. | Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel |
| 2013 | KDD | Beyond myopic inference in big data pipelines. | Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims |
| 2013 | SIGIR | Toward whole-session relevance: exploring intrinsic diversity in web search. | Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson |
| 2012 | CIKM | Learning from mistakes: towards a correctable learning algorithm. | Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges |
| 2012 | KDD | Online learning to diversify from implicit feedback. | Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims |
| 2011 | CIKM | Structured learning of two-level dynamic rankings. | Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy |
| 2010 | ACL | Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages. | Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya |
| 2010 | ECIR | On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents. | Karthik Raman, Raghavendra Udupa, Pushpak Bhattacharyya, Abhijit Bhole |
| 2010 | SIGIR | Multilingual PRF: english lends a helping hand. | Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bhattacharyya |