Generating Binary Optimal Codes Using Heterogeneous Parallel Computing. - Srajan Paliwal; Saurabh Tiwary; Bhaskar Chaudhury; Manish K. Gupta 004 (CoRR, 2015)

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. - Tri Nguyen; Mir Rosenberg; Xia Song; Jianfeng Gao 001; Saurabh Tiwary; Rangan Majumder; Li Deng 001 (CoCo@NIPS, 2016)

Optimizing Query Evaluations Using Reinforcement Learning for Web Search. - Corby Rosset; Damien Jose; Gargi Ghosh; Bhaskar Mitra 001; Saurabh Tiwary (SIGIR, 2018)

Neural Ranking Models with Multiple Document Fields. - Hamed Zamani; Bhaskar Mitra 001; Xia Song; Nick Craswell; Saurabh Tiwary (WSDM, 2018)

Towards Language Agnostic Universal Representations. - Armen Aghajanyan; Xia Song; Saurabh Tiwary (ACL (1), 2019)

An Axiomatic Approach to Regularizing Neural Ranking Models. - Corby Rosset; Bhaskar Mitra 001; Chenyan Xiong; Nick Craswell; Xia Song; Saurabh Tiwary (SIGIR, 2019)

Generic Intent Representation in Web Search. - Hongfei Zhang; Xia Song; Chenyan Xiong; Corby Rosset; Paul N. Bennett; Nick Craswell; Saurabh Tiwary (SIGIR, 2019)

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. - Chen Zhao 009; Chenyan Xiong; Corby Rosset; Xia Song; Paul N. Bennett; Saurabh Tiwary (ICLR, 2020)

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. - Bita Darvish Rouhani; Daniel Lo; Ritchie Zhao; Ming Liu; Jeremy Fowers; Kalin Ovtcharov; Anna Vinogradsky; Sarah Massengill; Lita Yang; Ray Bittner; Alessandro Forin; Haishan Zhu; et al. (NeurIPS, 2020)

Leading Conversational Search by Suggesting Useful Questions. - Corbin Rosset; Chenyan Xiong; Xia Song; Daniel Campos; Nick Craswell; Saurabh Tiwary; Paul N. Bennett (WWW, 2020)

Knowledge-Aware Language Model Pretraining. - Corby Rosset; Chenyan Xiong; Minh Phan; Xia Song; Paul N. Bennett; Saurabh Tiwary (CoRR, 2020)

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul Bennett 001; Jiawei Han 001; Xia Song (NeurIPS, 2021)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Saurabh Tiwary; Robert West 001 (EMNLP, 2022)

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul N. Bennett; Jiawei Han 001; Xia Song (ICLR, 2022)

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. - Shaden Smith; Mostofa Patwary; Brandon Norick; Patrick LeGresley; Samyam Rajbhandari; Jared Casper; Zhun Liu; Shrimai Prabhumoye; George Zerveas; Vijay Korthikanti; Elton Zheng; Rewon Child; et al. (CoRR, 2022)

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. - Payal Bajaj; Chenyan Xiong; Guolin Ke; Xiaodong Liu 003; Di He 001; Saurabh Tiwary; Tie-Yan Liu; Paul Bennett 001; Xia Song; Jianfeng Gao 001 (CoRR, 2022)

DUBLIN: Visual Document Understanding By Language-Image Network. - Kriti Aggarwal; Aditi Khandelwal; Kumar Tanmay; Owais Khan Mohammed; Qiang Liu; Monojit Choudhury; Hardik Hansrajbhai Chauhan; Subhojit Som; Vishrav Chaudhary; Saurabh Tiwary (EMNLP (Industry Track), 2023)

DUBLIN - Document Understanding By Language-Image Network. - Kriti Aggarwal; Aditi Khandelwal; Kumar Tanmay; Owais Khan Mohammed; Qiang Liu; Monojit Choudhury; Hardik Hansrajbhai Chauhan; Subhojit Som; Vishrav Chaudhary; Saurabh Tiwary (CoRR, 2023)

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. - Ying-Chun Lin; Jennifer Neville; Jack W. Stokes; Longqi Yang; Tara Safavi; Mengting Wan; Scott Counts; Siddharth Suri; Reid Andersen; Xiaofeng Xu; Deepak Gupta; Sujay Kumar Jauhar; et al. (ACL (1), 2024)