Apoorv Khandelwal
Scholar

Apoorv Khandelwal

Google Scholar ID: gwUMjlsAAAAJ
Brown University
Computer VisionNatural Language ProcessingDeep Learning
Citations & Impact
All-time
Citations
1,073
 
H-index
6
 
i10-index
4
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • How Do Language Models Compose Functions? (2025)
  • $100K or 100 days: Trade-offs when Pre-Training with Academic Resources (2024, COLM 2025)
  • Analyzing Modular Approaches for Visual Question Decomposition (2023, EMNLP 2023)
  • Altamira Comet proof-of-concept (2023, Acta Astronautica)
  • What's in a Decade? Transforming Faces Through Time (2022, Eurographics 2023)
  • A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge (2022, ECCV 2022)
  • Simple but Effective: CLIP Embeddings for Embodied AI (2022, CVPR 2022)
Research Experience
  • Worked at the Allen Institute for AI; collaborated with Noah Snavely and Hadar Averbuch-Elor during undergraduate studies at Cornell.
Education
  • PhD in Computer Science at Brown University (2022-Present), advised by Chen Sun and Ellie Pavlick.
Background
  • Fourth-year CS PhD student at Brown, with research interests in modularity & compositionality in large language models. Supported by Brown's Presidential Fellowship from 2022–2025. Worked at the Allen Institute for AI and collaborated with Noah Snavely & Hadar Averbuch-Elor as an undergrad at Cornell.
Co-authors
0 total
Co-authors: 0 (list not available)