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ORCIDVivek Gupta 0001
Person information
- affiliation: University of Utah, School of Computing, Salt Lake City, UT, USA
- affiliation (former): Microsoft Research, Bangalore, India
- affiliation (former): Indian Institute of Technology, Kanpur, India
Other persons with the same name
- Vivek Gupta — disambiguation page
- Vivek Gupta 0002 — University of Massachusetts Lowell, MA, USA
- Vivek Gupta 0003 — IIIT Delhi, India
- Vivek Gupta 0004 — Georgia Institute of Technology, Atlanta, GA, USA
- Vivek Gupta 0005 — National Institure of Mental Health & Neuro Sciences, Bangalore, India
- Vivek Gupta 0006
![[0000-0002-7998-1109]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7998-1109")
— Birla Institute of Technology (Deemed University), Mesra, India
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2020 – today
- 2023
[c30]Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang:
InfoSync: Information Synchronization across Multilingual Semi-structured Tables. ACL (Findings) 2023: 2536-2559- [c29]Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar:
TempTabQA: Temporal Question Answering for Semi-Structured Tables. EMNLP 2023: 2431-2453 - [c28]Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl:
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data. EMNLP (Findings) 2023: 15391-15405 - [i29]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
Evaluating Inter-Bilingual Semantic Parsing for Indian Languages. CoRR abs/2304.13005 (2023) - [i28]Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang:
InfoSync: Information Synchronization across Multilingual Semi-structured Tables. CoRR abs/2307.03313 (2023) - [i27]Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl:
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data. CoRR abs/2311.02216 (2023) - [i26]Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl:
ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images. CoRR abs/2311.07453 (2023) - [i25]Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar:
TempTabQA: Temporal Question Answering for Semi-Structured Tables. CoRR abs/2311.08002 (2023) - [i24]Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth:
Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets. CoRR abs/2311.08662 (2023) - 2022
- [j1]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. Trans. Assoc. Comput. Linguistics 10: 659-679 (2022) - [c27]Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar:
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. ACL (1) 2022: 3268-3283 - [c26]Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. ConvAI@ACL 2022: 184-196 - [c25]Yerram Varun, Aayush Sharma, Vivek Gupta:
Trans-KBLSTM: An External Knowledge Enhanced Transformer BiLSTM Model for Tabular Reasoning. DeeLIO@ACL 2022: 62-78 - [c24]Dibyakanti Kumar, Vivek Gupta, Soumya Sharma, Shuo Zhang:
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning. EMNLP (Findings) 2022: 4411-4429 - [c23]Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Martin Eisenschlos:
Leveraging Data Recasting to Enhance Tabular Reasoning. EMNLP (Findings) 2022: 4483-4496 - [c22]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
IndicXNLI: Evaluating Multilingual Inference for Indian Languages. EMNLP 2022: 10994-11006 - [c21]Abhilash Reddy Shankarampeta, Vivek Gupta, Shuo Zhang:
Enhancing Tabular Reasoning with Pattern Exploiting Training. AACL/IJCNLP (1) 2022: 706-726 - [c20]Chaitanya Agarwal, Vivek Gupta, Anoop Kunchukuttan, Manish Shrivastava:
Bilingual Tabular Inference: A Case Study on Indic Languages. NAACL-HLT 2022: 4018-4037 - [i23]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
IndicXNLI: Evaluating Multilingual Inference for Indian Languages. CoRR abs/2204.08776 (2022) - [i22]Abhilash Reddy Shankarampeta, Vivek Gupta, Shuo Zhang:
Enhancing Tabular Reasoning with Pattern Exploiting Training. CoRR abs/2210.12259 (2022) - [i21]Dibyakanti Kumar, Vivek Gupta, Soumya Sharma, Shuo Zhang:
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning. CoRR abs/2210.12795 (2022) - [i20]Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Martin Eisenschlos:
Leveraging Data Recasting to Enhance Tabular Reasoning. CoRR abs/2211.12641 (2022) - 2021
- [c19]Vivek Gupta, Prerna Bharti, Pegah Nokhiz, Harish Karnick:
SumPubMed: Summarization Dataset of PubMed Scientific Articles. ACL (student) 2021: 292-303 - [c18]Ankur Gupta, Vivek Gupta:
Unsupervised Contextualized Document Representation. SustaiNLP@EMNLP 2021: 166-173 - [c17]Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar:
TabPert : An Effective Platform for Tabular Perturbation. EMNLP (Demos) 2021: 350-360 - [c16]J. Neeraja, Vivek Gupta, Vivek Srikumar:
Incorporating External Knowledge to Enhance Tabular Reasoning. NAACL-HLT 2021: 2799-2809 - [e1]Esin Durmus, Vivek Gupta, Nelson Liu, Nanyun Peng, Yu Su:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-50-3 [contents] - [i19]J. Neeraja, Vivek Gupta, Vivek Srikumar:
Incorporating External Knowledge to Enhance Tabular Reasoning. CoRR abs/2104.04243 (2021) - [i18]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. CoRR abs/2108.00578 (2021) - [i17]Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar:
TabPert: An Effective Platform for Tabular Perturbation. CoRR abs/2108.00603 (2021) - [i16]Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing. CoRR abs/2109.10410 (2021) - [i15]Ankur Gupta, Vivek Gupta:
Unsupervised Contextualized Document Representation. CoRR abs/2109.10509 (2021) - 2020
- [c15]Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar:
P-SIF: Document Embeddings Using Partition Averaging. AAAI 2020: 7863-7870 - [c14]Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar:
INFOTABS: Inference on Tables as Semi-structured Data. ACL 2020: 2309-2324 - [c13]Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. ECAI 2020: 2030-2037 - [c12]Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze:
On Long-Tailed Phenomena in Neural Machine Translation. EMNLP (Findings) 2020: 3088-3095 - [c11]Pranshi Yadav, Priya Yadav, Pegah Nokhiz, Vivek Gupta:
Unbiasing Review Ratings with Tendency Based Collaborative Filtering. AACL/IJCNLP (Student Research Workshop) 2020: 50-56 - [c10]Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
Two-Step Classification using Recasted Data for Low Resource Settings. AACL/IJCNLP 2020: 706-719 - [c9]Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. RepL4NLP@ACL 2020: 156-165 - [i14]Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar:
INFOTABS: Inference on Tables as Semi-structured Data. CoRR abs/2005.06117 (2020) - [i13]Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar:
P-SIF: Document Embeddings Using Partition Averaging. CoRR abs/2005.09069 (2020) - [i12]Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze:
On Long-Tailed Phenomena in Neural Machine Translation. CoRR abs/2010.04924 (2020)
2010 – 2019
- 2019
- [c8]Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai:
Distributional Semantics Meets Multi-Label Learning. AAAI 2019: 3747-3754 - [c7]Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar:
A Logic-Driven Framework for Consistency of Neural Models. EMNLP/IJCNLP (1) 2019: 3922-3933 - [c6]Vikas Raunak, Vivek Gupta, Florian Metze:
Effective Dimensionality Reduction for Word Embeddings. RepL4NLP@ACL 2019: 235-243 - [i11]Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar:
A Logic-Driven Framework for Consistency of Neural Models. CoRR abs/1909.00126 (2019) - [i10]Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian:
Equalizing Recourse across Groups. CoRR abs/1909.03166 (2019) - [i9]Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. CoRR abs/1910.02211 (2019) - [i8]Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. CoRR abs/1911.07918 (2019) - 2018
- [c5]Shibhansh Dohare, Vivek Gupta, Harish Karnick:
Unsupervised Semantic Abstractive Summarization. ACL (3) 2018: 74-83 - [c4]Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick:
User bias removal in review score prediction. COMAD/CODS 2018: 175-179 - [i7]Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick:
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. CoRR abs/1802.06771 (2018) - 2017
- [c3]Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick:
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. EMNLP 2017: 659-669 - [i6]Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick:
Leveraging Distributional Semantics for Multi-Label Learning. CoRR abs/1709.05976 (2017) - [i5]Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi:
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles. CoRR abs/1711.05482 (2017) - 2016
- [c2]Vivek Gupta, Siddhant Mittal, Sandip Bhaumik, Raj Roy:
Assisting humans to achieve optimal sleep by changing ambient temperature. BIBM 2016: 841-845 - [c1]Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala:
Product Classification in E-Commerce using Distributional Semantics. COLING 2016: 536-546 - [i4]Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala:
Product Classification in E-Commerce using Distributional Semantics. CoRR abs/1606.06083 (2016) - [i3]Dheeraj Mekala, Vivek Gupta, Harish Karnick:
Text classification with sparse composite document vectors. CoRR abs/1612.06778 (2016) - [i2]Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Janish Jindal, Harish Karnick:
User Bias Removal in Fine Grained Sentiment Analysis. CoRR abs/1612.06821 (2016) - [i1]Vivek Gupta, Siddhant Mittal, Sandip Bhaumik, Raj Roy:
Assisting humans to achieve optimal sleep by changing ambient temperature. CoRR abs/1612.08645 (2016)
Coauthor Index
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