Saurabh Tiwary

According to our database1, Saurabh Tiwary authored at least 20 papers between 2015 and 2024.

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Bibliography

2024
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models.
CoRR, 2024

GenSERP: Large Language Models for Whole Page Presentation.
CoRR, 2024

2023
DUBLIN - Document Understanding By Language-Image Network.
CoRR, 2023

DUBLIN: Visual Document Understanding By Language-Image Network.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals.
CoRR, 2022

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.
CoRR, 2022

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Invariant Language Modeling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Knowledge-Aware Language Model Pretraining.
CoRR, 2020

Leading Conversational Search by Suggesting Useful Questions.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Generic Intent Representation in Web Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

An Axiomatic Approach to Regularizing Neural Ranking Models.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Towards Language Agnostic Universal Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Neural Ranking Models with Multiple Document Fields.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Optimizing Query Evaluations Using Reinforcement Learning for Web Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2016
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

2015
Generating Binary Optimal Codes Using Heterogeneous Parallel Computing.
CoRR, 2015


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