Assisting humans to achieve optimal sleep by changing ambient temperature. - Vivek Gupta 001; Siddhant Mittal; Sandip Bhaumik; Raj Roy (BIBM, 2016)

Product Classification in E-Commerce using Distributional Semantics. - Vivek Gupta 001; Harish Karnick; Ashendra Bansal; Pradhuman Jhala (COLING, 2016)

Text classification with sparse composite document vectors. - Dheeraj Mekala; Vivek Gupta 001; Harish Karnick (CoRR, 2016)

User Bias Removal in Fine Grained Sentiment Analysis. - Rahul Wadbude; Vivek Gupta 001; Dheeraj Mekala; Janish Jindal; Harish Karnick (CoRR, 2016)

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. - Dheeraj Mekala; Vivek Gupta 001; Bhargavi Paranjape; Harish Karnick (EMNLP, 2017)

Leveraging Distributional Semantics for Multi-Label Learning. - Rahul Wadbude; Vivek Gupta 001; Piyush Rai; Nagarajan Natarajan; Harish Karnick (CoRR, 2017)

Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles. - Dhruv Mahajan 001; Vivek Gupta 001; S. Sathiya Keerthi; Sundararajan Sellamanickam; Shravan Narayanamurthy; Rahul Kidambi (CoRR, 2017)

Unsupervised Semantic Abstractive Summarization. - Shibhansh Dohare; Vivek Gupta 001; Harish Karnick (ACL (3), 2018)

User bias removal in review score prediction. - Rahul Wadbude; Vivek Gupta 001; Dheeraj Mekala; Harish Karnick (COMAD/CODS, 2018)

Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. - Dheeraj Mekala; Vivek Gupta 001; Purushottam Kar; Harish Karnick (CoRR, 2018)

Distributional Semantics Meets Multi-Label Learning. - Vivek Gupta 001; Rahul Wadbude; Nagarajan Natarajan; Harish Karnick; Prateek Jain 002; Piyush Rai (AAAI, 2019)

A Logic-Driven Framework for Consistency of Neural Models. - Tao Li 039; Vivek Gupta 001; Maitrey Mehta; Vivek Srikumar (EMNLP/IJCNLP (1), 2019)

Effective Dimensionality Reduction for Word Embeddings. - Vikas Raunak; Vivek Gupta 001; Florian Metze (RepL4NLP@ACL, 2019)

Equalizing Recourse across Groups. - Vivek Gupta 001; Pegah Nokhiz; Chitradeep Dutta Roy; Suresh Venkatasubramanian (CoRR, 2019)

P-SIF: Document Embeddings Using Partition Averaging. - Vivek Gupta 001; Ankit Saw; Pegah Nokhiz; Praneeth Netrapalli; Piyush Rai; Partha P. Talukdar (AAAI, 2020)

INFOTABS: Inference on Tables as Semi-structured Data. - Vivek Gupta 001; Maitrey Mehta; Pegah Nokhiz; Vivek Srikumar (ACL, 2020)

Improving Document Classification with Multi-Sense Embeddings. - Vivek Gupta 001; Ankit Kumar; Pegah Nokhiz; Harshit Gupta; Partha P. Talukdar (ECAI, 2020)

On Long-Tailed Phenomena in Neural Machine Translation. - Vikas Raunak; Siddharth Dalmia; Vivek Gupta 001; Florian Metze (EMNLP (Findings), 2020)

Two-Step Classification using Recasted Data for Low Resource Settings. - Shagun Uppal; Vivek Gupta 001; Avinash Swaminathan; Haimin Zhang; Debanjan Mahata; Rakesh Gosangi; Rajiv Ratn Shah; Amanda Stent (AACL/IJCNLP, 2020)

Unbiasing Review Ratings with Tendency Based Collaborative Filtering. - Pranshi Yadav; Priya Yadav; Pegah Nokhiz; Vivek Gupta 001 (AACL/IJCNLP (Student Research Workshop), 2020)

On Dimensional Linguistic Properties of the Word Embedding Space. - Vikas Raunak; Vaibhav Kumar; Vivek Gupta 001; Florian Metze (RepL4NLP@ACL, 2020)

SumPubMed: Summarization Dataset of PubMed Scientific Articles. - Vivek Gupta 001; Prerna Bharti; Pegah Nokhiz; Harish Karnick (ACL (student), 2021)

Unsupervised Contextualized Document Representation. - Ankur Gupta; Vivek Gupta 001 (SustaiNLP@EMNLP, 2021)

TabPert : An Effective Platform for Tabular Perturbation. - Nupur Jain; Vivek Gupta 001; Anshul Rai; Gaurav Kumar (EMNLP (Demos), 2021)

Incorporating External Knowledge to Enhance Tabular Reasoning. - J. Neeraja; Vivek Gupta 001; Vivek Srikumar (NAACL-HLT, 2021)

RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. - Vivek Gupta 001; Akshat Shrivastava; Adithya Sagar; Armen Aghajanyan; Denis Savenkov (ConvAI@ACL, 2022)

Trans-KBLSTM: An External Knowledge Enhanced Transformer BiLSTM Model for Tabular Reasoning. - Yerram Varun; Aayush Sharma; Vivek Gupta 001 (DeeLIO@ACL, 2022)

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. - Vivek Gupta 001; Shuo Zhang 006; Alakananda Vempala; Yujie He 003; Temma Choji; Vivek Srikumar (ACL (1), 2022)

IndicXNLI: Evaluating Multilingual Inference for Indian Languages. - Divyanshu Aggarwal; Vivek Gupta 001; Anoop Kunchukuttan (EMNLP, 2022)

Leveraging Data Recasting to Enhance Tabular Reasoning. - Aashna Jena; Vivek Gupta 001; Manish Shrivastava 001; Julian Martin Eisenschlos (EMNLP (Findings), 2022)

Realistic Data Augmentation Framework for Enhancing Tabular Reasoning. - Dibyakanti Kumar; Vivek Gupta 001; Soumya Sharma; Shuo Zhang 006 (EMNLP (Findings), 2022)

Enhancing Tabular Reasoning with Pattern Exploiting Training. - Abhilash Reddy Shankarampeta; Vivek Gupta 001; Shuo Zhang 006 (AACL/IJCNLP (1), 2022)

Bilingual Tabular Inference: A Case Study on Indic Languages. - Chaitanya Agarwal; Vivek Gupta 001; Anoop Kunchukuttan; Manish Shrivastava 001 (NAACL-HLT, 2022)

Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. - Vivek Gupta 001; Riyaz A. Bhat; Atreya Ghosal; Manish Shrivastava 001; Maneesh Kumar Singh 001; Vivek Srikumar (Trans. Assoc. Comput. Linguistics, 2022)

InfoSync: Information Synchronization across Multilingual Semi-structured Tables. - Siddharth Khincha; Chelsi Jain; Vivek Gupta 001; Tushar Kataria; Shuo Zhang 006 (ACL (Findings), 2023)

TempTabQA: Temporal Question Answering for Semi-Structured Tables. - Vivek Gupta 001; Pranshu Kandoi; Mahek Bhavesh Vora; Shuo Zhang 006; Yujie He 003; Ridho Reinanda; Vivek Srikumar (EMNLP, 2023)

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data. - Mubashara Akhtar; Abhilash Reddy Shankarampeta; Vivek Gupta 001; Arpit Patil; Oana Cocarascu; Elena Simperl (EMNLP (Findings), 2023)

Evaluating Inter-Bilingual Semantic Parsing for Indian Languages. - Divyanshu Aggarwal; Vivek Gupta 001; Anoop Kunchukuttan (CoRR, 2023)

ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images. - Mubashara Akhtar; Nikesh Subedi; Vivek Gupta 001; Sahar Tahmasebi; Oana Cocarascu; Elena Simperl (CoRR, 2023)

Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets. - Vatsal Gupta; Pranshu Pandya; Tushar Kataria; Vivek Gupta 001; Dan Roth 001 (CoRR, 2023)

ChartCheck: Explainable Fact-Checking over Real-World Chart Images. - Mubashara Akhtar; Nikesh Subedi; Vivek Gupta 001; Sahar Tahmasebi; Oana Cocarascu; Elena Simperl (ACL (Findings), 2024)

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. - Shubhankar Singh; Purvi Chaurasia; Yerram Varun; Pranshu Pandya; Vatsal Gupta; Vivek Gupta 001; Dan Roth 001 (ACL (Findings), 2024)

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. - Pragya Srivastava; Manuj Malik; Vivek Gupta 001; Tanuja Ganu; Dan Roth 001 (ACL (Findings), 2024)

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. - Vatsal Gupta; Pranshu Pandya; Tushar Kataria; Vivek Gupta 001; Dan Roth 001 (EMNLP, 2024)

Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. - Suyash Vardhan Mathur; Jainit Sushil Bafna; Kunal Kartik; Harshita Khandelwal; Manish Shrivastava 001; Vivek Gupta 001; Mohit Bansal; Dan Roth 001 (EMNLP (Findings), 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 001; Dan Roth 001 (EMNLP (Findings), 2024)

Enhancing Question Answering on Charts Through Effective Pre-training Tasks. - Ashim Gupta; Vivek Gupta 001; Shuo Zhang 006; Yujie He 003; Ning Zhang; Shalin Shah (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 001; Dan Roth 001 (CoRR, 2024)

MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. - Srija Mukhopadhyay; Abhishek Rajgaria; Prerana Khatiwada; Vivek Gupta 001; Dan Roth 001 (CoRR, 2024)

LLM-Symbolic Integration for Robust Temporal Tabular Reasoning. - Atharv Kulkarni; Kushagra Dixit; Vivek Srikumar; Dan Roth 001; Vivek Gupta 001 (ACL (Findings), 2025)

TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation. - Vihang Pancholi; Jainit Sushil Bafna; Tejas Anvekar; Manish Shrivastava 001; Vivek Gupta 001 (ACL (Findings), 2025)

H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables. - Nikhil Abhyankar; Vivek Gupta 001; Dan Roth 001; Chandan K. Reddy (NAACL (Long Papers), 2025)

Enhancing Temporal Understanding in LLMs for Semi-structured Tables. - Irwin Deng; Kushagra Dixit; Dan Roth 001; Vivek Gupta 001 (NAACL (Findings), 2025)

Leveraging LLM For Synchronizing Information Across Multilingual Tables. - Siddharth Khincha; Tushar Kataria; Ankita Anand; Dan Roth 001; Vivek Gupta 001 (NAACL (Long Papers), 2025)

MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. - Srija Mukhopadhyay; Abhishek Rajgaria; Prerana Khatiwada; Manish Shrivastava 001; Dan Roth 001; Vivek Gupta 001 (NAACL (Long Papers), 2025)

NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models. - Pranshu Pandya; Vatsal Gupta; Agney S. Talwarr; Tushar Kataria; Dan Roth 001; Vivek Gupta 001 (NAACL (Findings), 2025)

TRANSIENTTABLES: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables. - Abhilash Reddy Shankarampeta; Harsh Mahajan; Tushar Kataria; Dan Roth 001; Vivek Gupta 001 (NAACL (Long Papers), 2025)

UNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema Simplification. - Poojah Ganesan; Rajat Aayush Jha; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

Weaver: Interweaving SQL and LLM for Table Reasoning. - Rohit Khoja; Devanshu Gupta; Yanjie Fu; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning. - Kushagra Dixit; Abhishek Rajgaria; Harshavardhan Kalalbandi; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights. - Adnan Qidwai; Srija Mukhopadhyay; Prerana Khatiwada; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering. - Varun Srivastava; Fan Lei; Srija Mukhopadhyay; Vivek Gupta 001; Ross Maciejewski (CoRR, 2025)

InterChart: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information. - Anirudh Iyengar Kaniyar Narayana Iyengar; Srija Mukhopadhyay; Adnan Qidwai; Shubhankar Singh; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)