Rama Kumar Pasumarthi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
11
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters. | Lucas Spangher, Rama Kumar Pasumarthi, Nick Masiewicki, William F. Arnold, Aditi Kaushal, Dale Johnson, Peter Grabowski, Eugene Ie |
| 2025 | NAACL | Chatbot Arena Estimate: towards a generalized performance benchmark for LLM capabilities. | Lucas Spangher, Tianle Li, William F. Arnold, Nick Masiewicki, Xerxes Dotiwalla, Rama Kumar Pasumarthi, Peter Grabowski, Eugene Ie, Daniel Gruhl |
| 2021 | AISTATS | RankDistil: Knowledge Distillation for Ranking. | Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar |
| 2021 | ICLR | Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? | Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | WWW | Diversification-Aware Learning to Rank using Distributed Representation. | Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky |
| 2021 | WSDM | Improving Cloud Storage Search with User Activity. | Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork |
| 2020 | ICTIR | Permutation Equivariant Document Interaction Network for Neural Learning to Rank. | Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2019 | ICTIR | Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. | Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang |
| 2019 | KDD | TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. | Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf |
| 2019 | SIGIR | Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. | Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2019 | SIGIR | Domain Adaptation for Enterprise Email Search. | Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler |
| 2018 | AAAI | Gated-Attention Architectures for Task-Oriented Language Grounding. | Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov |
| 2014 | COMSNETS | Online network inference under dynamic cascade updates: A node-centric approach. | Rama Kumar Pasumarthi, Srinivas Karthik, Ayush Choure, Vinayaka Pandit |
| 2014 | KDD | A bayesian framework for estimating properties of network diffusions. | Varun R. Embar, Rama Kumar Pasumarthi, Indrajit Bhattacharya |