Saurabh Tiwary

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Parallel Computing

Document Understanding

Top Venues

Publications

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
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR (2024)
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
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) (2024)
Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay, Owais Khan Mohammed, Qiang Liu, Monojit Choudhury, Subhojit Som, Vishrav Chaudhary, Saurabh Tiwary
DUBLIN - Document Understanding By Language-Image Network. CoRR (2023)
Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay, Owais Khan Mohammed, Qiang Liu, Monojit Choudhury, Hardik Hansrajbhai Chauhan, Subhojit Som, Vishrav Chaudhary, Saurabh Tiwary
DUBLIN: Visual Document Understanding By Language-Image Network. EMNLP (Industry Track) (2023)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR (2022)
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
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR (2022)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR (2022)
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
Invariant Language Modeling. EMNLP (2022)
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR (2022)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS (2021)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR (2021)
Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett
Leading Conversational Search by Suggesting Useful Questions. WWW (2020)
Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary
Knowledge-Aware Language Model Pretraining. CoRR (2020)
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. ICLR (2020)
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
Generic Intent Representation in Web Search. CoRR (2019)
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
Generic Intent Representation in Web Search. SIGIR (2019)
Armen Aghajanyan, Xia Song, Saurabh Tiwary
Towards Language Agnostic Universal Representations. ACL (1) (2019)
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR (2019)
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR (2019)
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
Optimizing Query Evaluations Using Reinforcement Learning for Web Search. SIGIR (2018)
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Neural Ranking Models with Multiple Document Fields. WSDM (2018)
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
Optimizing Query Evaluations using Reinforcement Learning for Web Search. CoRR (2018)
Armen Aghajanyan, Xia Song, Saurabh Tiwary
Towards Language Agnostic Universal Representations. CoRR (2018)
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Neural Ranking Models with Multiple Document Fields. CoRR (2017)
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoCo@NIPS (2016)
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoRR (2016)
Srajan Paliwal, Saurabh Tiwary, Bhaskar Chaudhury, Manish K. Gupta
Generating Binary Optimal Codes Using Heterogeneous Parallel Computing. CoRR (2015)