Thermal-Safe Dynamic Test Scheduling Method Using On-Chip Temperature Sensors for 3D MPSoCs. - Rama Kumar Pasumarthi; V. R. Devanathan; V. Visvanathan; Seetal Potluri; V. Kamakoti 001 (J. Low Power Electron., 2012)

Online network inference under dynamic cascade updates: A node-centric approach. - Rama Kumar Pasumarthi; Srinivas Karthik; Ayush Choure; Vinayaka Pandit (COMSNETS, 2014)

A bayesian framework for estimating properties of network diffusions. - Varun R. Embar; Rama Kumar Pasumarthi; Indrajit Bhattacharya (KDD, 2014)

Gated-Attention Architectures for Task-Oriented Language Grounding. - Devendra Singh Chaplot; Kanthashree Mysore Sathyendra; Rama Kumar Pasumarthi; Dheeraj Rajagopal; Ruslan Salakhutdinov (AAAI, 2018)

Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. - Rama Kumar Pasumarthi; Sebastian Bruch 001; Michael Bendersky; Xuanhui Wang (ICTIR, 2019)

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. - Rama Kumar Pasumarthi; Sebastian Bruch 001; Xuanhui Wang; Cheng Li 012; Michael Bendersky; Marc Najork; Jan Pfeifer; Nadav Golbandi; Rohan Anil; Stephan Wolf (KDD, 2019)

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 001; Michael Bendersky; Xuanhui Wang; Harrie Oosterhuis; Rolf Jagerman; Maarten de Rijke (SIGIR, 2019)

Domain Adaptation for Enterprise Email Search. - Brandon Tran; Maryam Karimzadehgan; Rama Kumar Pasumarthi; Michael Bendersky; Donald Metzler (SIGIR, 2019)

Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. - Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2019)

Permutation Equivariant Document Interaction Network for Neural Learning to Rank. - Rama Kumar Pasumarthi; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (ICTIR, 2020)

RankDistil: Knowledge Distillation for Ranking. - Sashank J. Reddi; Rama Kumar Pasumarthi; Aditya Krishna Menon; Ankit Singh Rawat; Felix X. Yu; Seungyeon Kim 001; Andreas Veit; Sanjiv Kumar (AISTATS, 2021)

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? - Zhen Qin 001; Le Yan; Honglei Zhuang; Yi Tay; Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky; Marc Najork (ICLR, 2021)

Improving Cloud Storage Search with User Activity. - Rolf Jagerman; Weize Kong; Rama Kumar Pasumarthi; Zhen Qin 001; Michael Bendersky; Marc Najork (WSDM, 2021)

Diversification-Aware Learning to Rank using Distributed Representation. - Le Yan; Zhen Qin 001; Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky (WWW, 2021)

RD-Suite: A Benchmark for Ranking Distillation. - Zhen Qin 001; Rolf Jagerman; Rama Kumar Pasumarthi; Honglei Zhuang; He Zhang; Aijun Bai; Kai Hui 001; Le Yan; Xuanhui Wang (NeurIPS, 2023)

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 (NAACL (Industry Track), 2025)