Vivek Gupta

According to our database, Vivek Gupta authored at least 101 papers between 2016 and 2026.

Collaborative distances:

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

2026

DIAGRAMS: A Review Framework for Reasoning-Level Attribution in Diagram QA.

Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Manan Suri, Raviteja Bommireddy, Dinesh Manocha, Puneet Mathur, Vivek Gupta

CoRR, May, 2026

DRAGON: A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams.

Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Gaurav Najpande, Manan Suri, Dinesh Manocha, Puneet Mathur, Vivek Gupta

CoRR, April, 2026

SCOPE:Planning for Hybrid Querying over Clinical Trial Data.

Suparno Roy Chowdhury, Manan Roy Choudhury, Tejas Anvekar, Muhammad Ali Khan, Kaneez Zahra Rubab Khakwani, Mohamad Bassam Sonbol, Irbaz Bin Riaz, Vivek Gupta

CoRR, April, 2026

GamED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation.

Shiven Agarwal, Yash Shah, Ashish Raj Shekhar, Priyanuj Bordoloi, Vivek Gupta

CoRR, April, 2026

FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use.

Suparno Roy Chowdhury, Tejas Anvekar, Manan Roy Choudhury, Muhammad Ali Khan, Kaneez Zahra Rubab Khakwani, Mohamad Bassam Sonbol, Irbaz Bin Riaz, Vivek Gupta

CoRR, April, 2026

EviSearch: A Human in the Loop System for Extracting and Auditing Clinical Evidence for Systematic Reviews.

Naman Ahuja, Saniya Mulla, Muhammad Ali Khan, Zaryab bin Riaz Sipra, Kaneez Zahra Rubab Khakwani, Mohamad Bassam Sonbol, Irbaz Bin Riaz, Vivek Gupta

CoRR, April, 2026

Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding.

Eun Woo Im, Dhruv Madhwal, Vivek Gupta

CoRR, April, 2026

OSCAR: Orchestrated Self-verification and Cross-path Refinement.

Yash Shah, Abhijit Chakraborty, Naresh Kumar Devulapally, Vishnu Suresh Lokhande, Vivek Gupta

CoRR, April, 2026

JobMatchAI An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI.

Mayank Vyas, Abhijit Chakraborty, Vivek Gupta

CoRR, March, 2026

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles.

Arun Vignesh Malarkkan, Manan Roy Choudhury, Guangwei Zhang, Vivek Gupta, Qingyun Wang, Yanjie Fu, Denghui Zhang

CoRR, March, 2026

QUIETT: Query-Independent Table Transformation for Robust Reasoning.

Gaurav Najpande, Tampu Ravi Kumar, Manan Roy Choudhury, Neha Valeti, Yanjie Fu, Vivek Gupta

CoRR, February, 2026

SAGE: Structure Aware Graph Expansion for Retrieval of Heterogeneous Data.

Prasham Yatinkumar Titiya, Rohit Khoja, Tomer Wolfson, Vivek Gupta, Dan Roth

CoRR, February, 2026

ViTaB-A: Evaluating Multimodal Large Language Models on Visual Table Attribution.

Yahia Alqurnawi, Preetom Biswas, Anmol Rao, Tejas Anvekar, Chitta Baral, Vivek Gupta

CoRR, February, 2026

TraceBack: Multi-Agent Decomposition for Fine-Grained Table Attribution.

Tejas Anvekar, Junha Park, Rajat Aayush Jha, Devanshu Gupta, Poojah Ganesan, Puneeth Mathur, Vivek Gupta

CoRR, February, 2026

Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know".

Dhruv Madhwal, Lyuxin David Zhang, Dan Roth, Tomer Wolfson, Vivek Gupta

CoRR, February, 2026

DeALOG: Decentralized Multi-Agents Log-Mediated Reasoning Framework.

Abhijit Chakraborty, Ashish Raj Shekhar, Shiven Agarwal, Vivek Gupta

CoRR, February, 2026

Synapse Compendium Aware Federated Knowledge Exchange for Tool Routed LLMs.

Abhijit Chakraborty, Sandipan De, Yash Shah, Chahana Dahal, Vivek Gupta

CoRR, February, 2026

CORE-T: COherent REtrieval of Tables for Text-to-SQL.

Hassan Soliman, Vivek Gupta, Dan Roth, Iryna Gurevych

CoRR, January, 2026

ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation.

Jesus-German Ortiz-Barajas, Jonathan Tonglet, Vivek Gupta, Iryna Gurevych

CoRR, January, 2026

DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic Integrity.

Ashish Raj Shekhar, Shiven Agarwal, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta

CoRR, January, 2026

MapVerse: A Benchmark for Geospatial Question Answering on Diverse Real-World Maps.

Sharat Bhat, Harshita Khandelwal, Tushar Kataria, Vivek Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs.

Tejas Anvekar, Fenil Denish Bardoliya, Pavan K. Turaga, Chitta Baral, Vivek Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Program-of-Thought Reveals LLM Abstraction Ceilings.

Mike Zhou, Fenil Denish Bardoliya, Vivek Gupta, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments.

Ashish Raj Shekhar, Shiven Agarwal, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

TabReX : Tabular Referenceless eXplainable Evaluation.

Tejas Anvekar, Juhna Park, Aparna Garimella, Vivek Gupta

CoRR, December, 2025

RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables.

Nikhil Abhyankar, Purvi Chaurasia, Sanchit Kabra, Ananya Srivastava, Vivek Gupta, Chandan K. Reddy

CoRR, November, 2025

REaR: Retrieve, Expand and Refine for Effective Multitable Retrieval.

Rishita Agarwal, Himanshu Singhal, Peter Baile Chen, Manan Roy Choudhury, Dan Roth, Vivek Gupta

CoRR, November, 2025

CMT-Bench: Cricket Multi-Table Generation Benchmark for Probing Robustness in Large Language Models.

Ritam Upadhyay, Naman Ahuja, Rishabh Baral, Aparna Garimella, Vivek Gupta

CoRR, October, 2025

Distribution Shift Aware Neural Tabular Learning.

Wangyang Ying, Nanxu Gong, Dongjie Wang, Xinyuan Wang, Arun Vignesh Malarkkan, Vivek Gupta, Chandan K. Reddy, Yanjie Fu

CoRR, August, 2025

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering.

Varun Srivastava, Fan Lei, Srija Mukhopadhyay, Vivek Gupta, Ross Maciejewski

CoRR, July, 2025

No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning.

Kushagra Dixit, Abhishek Rajgaria, Harshavardhan Kalalbandi, Dan Roth, Vivek Gupta

CoRR, June, 2025

MMTBENCH: A Unified Benchmark for Complex Multimodal Table Reasoning.

Prasham Yatinkumar Titiya, Jainil Trivedi, Chitta Baral, Vivek Gupta

CoRR, May, 2025

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE.

Abhijit Chakraborty, Chahana Dahal, Ashutosh Balasubramaniam, Tejas Anvekar, Vivek Gupta

CoRR, May, 2025

UNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema Simplification.

Poojah Ganesan, Rajat Aayush Jha, Dan Roth, Vivek Gupta

CoRR, May, 2025

TRANSIENTTABLES: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables.

Abhilash Reddy Shankarampeta, Harsh Mahajan, Tushar Kataria, Dan Roth, Vivek Gupta

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

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

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Leveraging LLM For Synchronizing Information Across Multilingual Tables.

Siddharth Khincha, Tushar Kataria, Ankita Anand, Dan Roth, Vivek Gupta

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Enhancing Temporal Understanding in LLMs for Semi-structured Tables.

Irwin Deng, Kushagra Dixit, Dan Roth, Vivek Gupta

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

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

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning.

Abhishek Rajgaria, Kushagra Dixit, Mayank Vyas, Harshavardhan Kalalbandi, Dan Roth, Vivek Gupta

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information.

Anirudh Iyengar Kaniyar Narayana Iyengar, Srija Mukhopadhyay, Adnan Qidwai, Shubhankar Singh, Dan Roth, Vivek Gupta

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective.

Tejas Anvekar, Krishna Singh Rajput, Chitta Baral, Vivek Gupta

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents.

Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Vivek Gupta, Dinesh Manocha

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Weaver: Interweaving SQL and LLM for Table Reasoning.

Rohit Khoja, Devanshu Gupta, Yanjie Fu, Dan Roth, Vivek Gupta

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

TABARD: A Novel Benchmark for Tabular Anomaly Analysis, Reasoning and Detection.

Manan Roy Choudhury, Anirudh Iyengar Kaniyar Narayana Iyengar, Shikhhar Siingh, Sugeeth Puranam, Vivek Gupta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Federated Retrieval-Augmented Generation: A Systematic Mapping Study.

Abhijit Chakraborty, Chahana Dahal, Vivek Gupta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning.

Shikhhar Siingh, Abhinav Rawat, Chitta Baral, Vivek Gupta

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights.

Adnan Qidwai, Srija Mukhopadhyay, Prerana Khatiwada, Dan Roth, Vivek Gupta

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation.

Vihang Pancholi, Jainit Sushil Bafna, Tejas Anvekar, Manish Shrivastava, Vivek Gupta

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLM-Symbolic Integration for Robust Temporal Tabular Reasoning.

Atharv Kulkarni, Kushagra Dixit, Vivek Srikumar, Dan Roth, Vivek Gupta

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Map&Make: Schema Guided Text to Table Generation.

Naman Ahuja, Fenil Denish Bardoliya, Chitta Baral, Vivek Gupta

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

Srija Mukhopadhyay, Abhishek Rajgaria, Prerana Khatiwada, 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

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