Puneet Mathur
Computer Science · The Ohio State University
Publications
137
Citations
1,138
Est. group size
~11
Recurring co-author estimate
Active years
41
Publishing since 1986
Puneet Mathur works in computer science, focusing on natural language processing and multimodal AI systems, including large language model (LLM) agents that can interpret and edit charts, documents, and user interfaces. Recent work explores how AI agents can attribute information in visual content like flowcharts and charts, summarize documents, and interact with graphical user interfaces (GUIs). Note that the publication list also contains unrelated mechanical engineering papers (journal bearings, lubrication), which likely reflect a different individual sharing the same name rather than this researcher's work.
Publication output has fluctuated over the past decade with peaks in 2018, 2020, and especially 2025, suggesting an active but variable, recently resurgent publication pace rather than a steady linear trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Structured Uncertainty guided Clarification for LLM Agents
2026
- Transient nonlinear analysis of lemon bore journal bearings using micropolar fluid lubrication
Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics · 2026
- Neural network based prediction of lemon bore journal bearing performance with micropolar lubricants
Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology · 2025
- GUI Agents: A Survey
2025
- From Selection to Generation: A Survey of LLM-based Active Learning
2025
- Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents
2025
- PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents
arXiv (Cornell University) · 2025
- PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents
Lecture notes in computer science · 2025
- ChartLens: Fine-grained Visual Attribution in Charts
2025
- MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces
arXiv (Cornell University) · 2025
- MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
arXiv (Cornell University) · 2025
- PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
arXiv (Cornell University) · 2025
- ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
arXiv (Cornell University) · 2025
- From Selection to Generation: A Survey of LLM-based Active Learning
arXiv (Cornell University) · 2025
- Advanced Gas Monitoring in Welding: The Role of MQ6 and MQ9 Sensors
SSRN Electronic Journal · 2025
- Apress eBooks×27
- arXiv (Cornell University)×27
- Proceedings of the AAAI Conference on Artificial Intelligence×5
- SSRN Electronic Journal×5
- Lecture notes in computer science×3
- Yan Cong
Computer Science · Purdue University West Lafayette
- Francis M. Tyers
Computer Science · Indiana University
- Allen Riddell
Computer Science · Indiana University
- Damir Ćavar
Computer Science · Indiana University
- Elsayed Issa
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile