Vivek Gupta

According to our database, Vivek Gupta authored at least 52 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MAPWise: Evaluating Vision-Language Models for Advanced Map Queries.

Srija Mukhopadhyay, Abhishek Rajgaria, Prerana Khatiwada, Vivek Gupta, Dan Roth

CoRR, 2024

Enhancing Temporal Understanding in LLMs for Semi-structured Tables.

Irwin Deng, Kushagra Dixit, Vivek Gupta, Dan Roth

CoRR, 2024

Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness.

Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth

CoRR, 2024

NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models.

Pranshu Pandya, Agney S. Talwarr, Vatsal Gupta, Tushar Kataria, Vivek Gupta, Dan Roth

CoRR, 2024

H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables.

Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy

CoRR, 2024

Enhancing Question Answering on Charts Through Effective Pre-training Tasks.

Ashim Gupta, Vivek Gupta, Shuo Zhang, Yujie He, Ning Zhang, Shalin Shah

CoRR, 2024

Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness.

Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Knowledge-Aware Reasoning over Multimodal Semi-structured Tables.

Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets.

Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering.

Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics, 2024

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts.

Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ChartCheck: Explainable Fact-Checking over Real-World Chart Images.

Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth

CoRR, 2023

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

Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl

CoRR, 2023

Evaluating Inter-Bilingual Semantic Parsing for Indian Languages.

Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan

CoRR, 2023

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data.

Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TempTabQA: Temporal Question Answering for Semi-Structured Tables.

Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InfoSync: Information Synchronization across Multilingual Semi-structured Tables.

Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang

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.

Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar

Trans. Assoc. Comput. Linguistics, 2022

Bilingual Tabular Inference: A Case Study on Indic Languages.

Chaitanya Agarwal, Vivek Gupta, Anoop Kunchukuttan, Manish Shrivastava

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.

Abhilash Reddy Shankarampeta, Vivek Gupta, Shuo Zhang

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.

Dibyakanti Kumar, Vivek Gupta, Soumya Sharma, Shuo Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Leveraging Data Recasting to Enhance Tabular Reasoning.

Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Martin Eisenschlos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

IndicXNLI: Evaluating Multilingual Inference for Indian Languages.

Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan

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

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning.

Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar

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.

Yerram Varun, Aayush Sharma, Vivek Gupta

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.

Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

Incorporating External Knowledge to Enhance Tabular Reasoning.

J. Neeraja, Vivek Gupta, Vivek Srikumar

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.

Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Unsupervised Contextualized Document Representation.

Ankur Gupta, Vivek Gupta

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

SumPubMed: Summarization Dataset of PubMed Scientific Articles.

Vivek Gupta, Prerna Bharti, Pegah Nokhiz, Harish Karnick

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

On Dimensional Linguistic Properties of the Word Embedding Space.

Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Unbiasing Review Ratings with Tendency Based Collaborative Filtering.

Pranshi Yadav, Priya Yadav, Pegah Nokhiz, Vivek Gupta

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.

Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

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.

Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving Document Classification with Multi-Sense Embeddings.

Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar

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.

Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

P-SIF: Document Embeddings Using Partition Averaging.

Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Equalizing Recourse across Groups.

Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian

CoRR, 2019

Effective Dimensionality Reduction for Word Embeddings.

Vikas Raunak, Vivek Gupta, Florian Metze

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

A Logic-Driven Framework for Consistency of Neural Models.

Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar

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.

Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss.

Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick

CoRR, 2018

User bias removal in review score prediction.

Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Unsupervised Semantic Abstractive Summarization.

Shibhansh Dohare, Vivek Gupta, Harish Karnick

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.

Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi

CoRR, 2017

Leveraging Distributional Semantics for Multi-Label Learning.

Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick

CoRR, 2017

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations.

Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

User Bias Removal in Fine Grained Sentiment Analysis.

Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Janish Jindal, Harish Karnick

CoRR, 2016

Text classification with sparse composite document vectors.

Dheeraj Mekala, Vivek Gupta, Harish Karnick

CoRR, 2016

Product Classification in E-Commerce using Distributional Semantics.

Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala

Proceedings of the COLING 2016, 2016

Assisting humans to achieve optimal sleep by changing ambient temperature.

Vivek Gupta, Siddhant Mittal, Sandip Bhaumik, Raj Roy

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016