1. Paper 'Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents' accepted at EMNLP 2025 main conference.
2. Paper 'ChartLens: Fine-grained Visual Attribution in Charts' accepted at ACL 2025 main conference.
3. Organized RARA workshop, which has been accepted to ICDM 2025 (IEEE International Conference on Data Mining).
4. Gave a talk at Adobe World HQ, San Jose, titled 'Fine-grained Visual Attribution'.
5. Joined Amazon as an Applied Scientist Intern in the agentic developer tools team (Amazon Q).
Research Experience
1. Worked on greenwashing detection as a Data Science for Social Good Fellow at the University of Warwick, collaborating with the Algorithmic Transparency Institute.
2. Contributed to fact attribution and document retrieval systems at Scalenut.
Education
Degree: PhD in Computer Science; School: University of Maryland, College Park; Advisor: Prof. Dinesh Manocha; Time: Current; Major: Computer Science.
Background
Research Interests: Grounding language models through retrieval, attribution, agents, and reasoning, with a focus on semi-structured and multimodal data such as documents, tables, and charts. Personal Background: PhD student in Computer Science at the University of Maryland, College Park.