Puneet Mathur
Scholar

Puneet Mathur

Google Scholar ID: Zb4-A0AAAAAJ
University of Maryland College Park ; Netaji Subhas Institute of Technology
Deep LearningNLPComputer VisionMachine Learning
Citations & Impact
All-time
Citations
1,504
 
H-index
18
 
i10-index
32
 
Publications
20
 
Co-authors
10
list available
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