Scholar
Puneet Mathur
Google Scholar ID: Zb4-A0AAAAAJ
University of Maryland College Park ; Netaji Subhas Institute of Technology
Deep Learning
NLP
Computer Vision
Machine Learning
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,504
H-index
18
i10-index
32
Publications
20
Co-authors
10
list available
Contact
Email
puneetm@umd.edu
CV
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Twitter
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GitHub
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LinkedIn
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents, EMNLP 2025
SQLSpace: A Representation Space for Text-to-SQL to Discover and Mitigate Robustness Gaps, EMNLP 2025
DELOC: Document Element Localizer, EMNLP 2025
ChartLens: Fine-grained Visual Attribution in Charts, ACL 2025
DocVoyager: Anticipating Users’ Information Needs and Guiding Document Reading through Question Answering, CHI 2025
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation, NAACL 2025
MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections, NAACL 2025
MATSA: Multi-Agent Table Structure Attribution, EMNLP 2024
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding, EMNLP 2024
Agent-DocEdit: Language-Instructed LLM Agent for Content-Rich Document Editing, COLM 2024
DocPilot: Copilot for Automating PDF Edit Workflows in Documents, ACL 2024
DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation, COLING 2024
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction, COLING 2024
DocScript: Document-level Script Event Prediction, COLING 2024
Research Experience
Summer 2023: Research Scientist Intern at Microsoft Research, Redmond, with Dinei Florencio on multimodal document information extraction
Fall+Spring 2022: Intern at Facebook AI (Meta), Menlo Park, with Zhe Liu on long-context neural language modeling
Summer 2022: Intern at Adobe Research, San Jose, with Vlad Morariu and Rajiv Jain on language-guided document intelligence
Spring 2021: Intern at Verisk AI, New Jersey (remote), with Maneesh Singh and Manish Shrivastava on document-level NLI
Summer 2021: Intern at Adobe Research, San Jose (remote), with Vlad Morariu and Rajiv Jain on document hierarchy generation
Summer 2020: Intern at Dataminr, with Alejandro Jaimes and Joel Tetreault on duplicate event detection on social media
Co-authors
10 total
Co-author 1
Rajiv Ratn SHAH
Associate Professor, IIIT-Delhi
Franck Dernoncourt
NLP/ML Researcher. MIT PhD.
Dinesh Manocha
Distinguished University Professor, University of Maryland at College Park
Rajiv Jain
Adobe Research
Vlad Morariu
Senior Research Scientist, Adobe Research
Co-author 7
Quan Hung Tran
Research Scientist - Adobe Research
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