Vivek Gupta

Affiliations:
  • University of Utah, School of Computing, Salt Lake City, UT, USA
  • Microsoft Research, Bangalore, India (former)
  • Indian Institute of Technology, Kanpur, India (former)


According to our database1, Vivek Gupta authored at least 40 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2023
Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets.
CoRR, 2023

ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images.
CoRR, 2023

Evaluating Inter-Bilingual Semantic Parsing for Indian Languages.
CoRR, 2023

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TempTabQA: Temporal Question Answering for Semi-Structured Tables.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InfoSync: Information Synchronization across Multilingual Semi-structured Tables.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning.
Trans. Assoc. Comput. Linguistics, 2022

Bilingual Tabular Inference: A Case Study on Indic Languages.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Enhancing Tabular Reasoning with Pattern Exploiting Training.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Realistic Data Augmentation Framework for Enhancing Tabular Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Leveraging Data Recasting to Enhance Tabular Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

IndicXNLI: Evaluating Multilingual Inference for Indian Languages.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Trans-KBLSTM: An External Knowledge Enhanced Transformer BiLSTM Model for Tabular Reasoning.
Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Incorporating External Knowledge to Enhance Tabular Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TabPert : An Effective Platform for Tabular Perturbation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Unsupervised Contextualized Document Representation.
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

SumPubMed: Summarization Dataset of PubMed Scientific Articles.
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020
On Dimensional Linguistic Properties of the Word Embedding Space.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Unbiasing Review Ratings with Tendency Based Collaborative Filtering.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

Two-Step Classification using Recasted Data for Low Resource Settings.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

On Long-Tailed Phenomena in Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving Document Classification with Multi-Sense Embeddings.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

INFOTABS: Inference on Tables as Semi-structured Data.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

P-SIF: Document Embeddings Using Partition Averaging.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Equalizing Recourse across Groups.
CoRR, 2019

Effective Dimensionality Reduction for Word Embeddings.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

A Logic-Driven Framework for Consistency of Neural Models.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Distributional Semantics Meets Multi-Label Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss.
CoRR, 2018

User bias removal in review score prediction.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Unsupervised Semantic Abstractive Summarization.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

2017
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles.
CoRR, 2017

Leveraging Distributional Semantics for Multi-Label Learning.
CoRR, 2017

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
User Bias Removal in Fine Grained Sentiment Analysis.
CoRR, 2016

Text classification with sparse composite document vectors.
CoRR, 2016

Product Classification in E-Commerce using Distributional Semantics.
Proceedings of the COLING 2016, 2016

Assisting humans to achieve optimal sleep by changing ambient temperature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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