Saurabh Tiwary

28 papers A* 9A 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) 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, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan
2024	J	`jnl`	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR 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, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan
2023	J	`jnl`	DUBLIN - Document Understanding By Language-Image Network. CoRR Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay, Owais Khan Mohammed, Qiang Liu, Monojit Choudhury, Hardik Hansrajbhai Chauhan, Subhojit Som, Vishrav Chaudhary, Saurabh Tiwary
2023	—	`conf`	DUBLIN: Visual Document Understanding By Language-Image Network. EMNLP (Industry Track) Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay, Owais Khan Mohammed, Qiang Liu, Monojit Choudhury, Hardik Hansrajbhai Chauhan, Subhojit Som, Vishrav Chaudhary, Saurabh Tiwary
2022	A*	`conf`	Invariant Language Modeling. EMNLP Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022	J	`jnl`	METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
2022	A*	`conf`	Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song
2022	J	`jnl`	Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2022	J	`jnl`	Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro
2021	A*	`conf`	COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2021	J	`jnl`	COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2020	J	`jnl`	Knowledge-Aware Language Model Pretraining. CoRR Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary
2020	A*	`conf`	Leading Conversational Search by Suggesting Useful Questions. WWW Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett
2020	A*	`conf`	Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. NeurIPS 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, Taesik Na, Prerak Patel, Shuai Che, Lok Chand Koppaka, Xia Song, Subhojit Som, Kaustav Das, Saurabh Tiwary, Steven K. Reinhardt, Sitaram Lanka, Eric S. Chung, Doug Burger
2020	A*	`conf`	Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. ICLR Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary
2019	A*	`conf`	An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
2019	J	`jnl`	An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
2019	A*	`conf`	Generic Intent Representation in Web Search. SIGIR Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
2019	J	`jnl`	Generic Intent Representation in Web Search. CoRR Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
2019	—	`conf`	Towards Language Agnostic Universal Representations. ACL (1) Armen Aghajanyan, Xia Song, Saurabh Tiwary
2018	A	`conf`	Neural Ranking Models with Multiple Document Fields. WSDM Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
2018	A*	`conf`	Optimizing Query Evaluations Using Reinforcement Learning for Web Search. SIGIR Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
2018	J	`jnl`	Optimizing Query Evaluations using Reinforcement Learning for Web Search. CoRR Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
2018	J	`jnl`	Towards Language Agnostic Universal Representations. CoRR Armen Aghajanyan, Xia Song, Saurabh Tiwary
2017	J	`jnl`	Neural Ranking Models with Multiple Document Fields. CoRR Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
2016	—	`conf`	MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoCo@NIPS Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
2016	J	`jnl`	MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoRR Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
2015	J	`jnl`	Generating Binary Optimal Codes Using Heterogeneous Parallel Computing. CoRR Srajan Paliwal, Saurabh Tiwary, Bhaskar Chaudhury, Manish K. Gupta