Scholar
Siddharth Parekh
Google Scholar ID: Kfezr1oAAAAJ
Student, Carnegie Mellon University
Citations & Impact
Citations
4
H-index
2
i10-index
0
Publications
2
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - AliGATr: Graph-based layout generation for form understanding, EMNLP 2024 Findings
- - Where is this coming from? Making groundedness count in the evaluation of Document VQA models, NAACL 2025 Findings
Research Experience
- Worked extensively with Professor Carolyn Rosé's Document Understanding Group at CMU’s Language Technologies Institute - collaborating with Armineh Nourbakhsh on developing graph-based models for form processing and robust evaluation metrics for document visual question answering.
Education
- Carnegie Mellon University, Master's in Computer Science (2025), Advisor: Professor Carolyn Rosé; Graduated from CMU with University and SCS College Honors (2025).
Background
- Research interests: factuality and how knowledge is learned and represented within Large Language Models. Currently completing a Fifth-Year Master’s in Computer Science at Carnegie Mellon University.
Miscellany
- Personal interests: Digging into the weeds of deep neural networks, hoping to uncover something interesting.
