| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Sun, 07 Dec 2025 19:20:37 GMT
access-control-allow-origin: *
etag: W/"6935d385-60bc"
expires: Sun, 28 Dec 2025 15:50:05 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: ECB9:3A7A40:7BEF70:8AFDA6:69514F54
accept-ranges: bytes
age: 0
date: Sun, 28 Dec 2025 15:40:05 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210046-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1766936406.680259,VS0,VE207
vary: Accept-Encoding
x-fastly-request-id: 850be1ad481e1888792b8d171a11051fb0fc4650
content-length: 4747
Apoorv Khandelwal
Apoorv Khandelwal
mail [at] apoorvkh.com
For academic inquiries:
apoorvkh [at] brown.edu
Hey, I'm Apoorv! I'm a fourth-year CS PhD student at Brown, where I'm very fortunate to be advised by Chen Sun & Ellie Pavlick. I was supported by Brown's Presidential Fellowship from 2022–2025. My current research interests are in modularity & compositionality in large language models. My prior interests are illustrated by the works below! I have also had the great pleasure of working at the Allen Institute for AI and with Noah Snavely & Hadar Averbuch-Elor as an undergrad at Cornell.
|
Apoorv Khandelwal, Ellie Pavlick
|
|
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak, Jack Merullo, Stephen H. Bach, Chen Sun, Ellie Pavlick
COLM 2025
paper
code
press
bibtex
@inproceedings{khandelwal2025:100k,
title={\$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources},
author={Apoorv Khandelwal and Tian Yun and Nihal V. Nayak and Jack Merullo and Stephen Bach and Chen Sun and Ellie Pavlick},
booktitle={Second Conference on Language Modeling},
year={2025},
url={https://arxiv.org/abs/2410.23261}
}
|
|
Apoorv Khandelwal, Ellie Pavlick, Chen Sun
EMNLP 2023
paper
code
bibtex
@inproceedings{khandelwal2023:vqd,
title = {Analyzing Modular Approaches for Visual Question Decomposition},
author = {Apoorv Khandelwal and Ellie Pavlick and Chen Sun},
year = {2023},
month = {December},
booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
pages = {2590--2603}
}
|
|
Greg Pass, Dan Goods, Pilar Fatás, Apoorv Khandelwal, Michael Skvarla, Noriaki Nakayamada, Karen Meech, Sonia Hernandez, Evan Hilgemann
Acta Astronautica
paper
bibtex
@article{pass2023:altamira,
title = {Altamira Comet proof-of-concept},
journal = {Acta Astronautica},
volume = {210},
pages = {498--510},
month = {September},
year = {2023},
author = {Greg Pass and Dan Goods and Pilar Fatás and Apoorv Khandelwal and Michael Skvarla and Noriaki Nakayamada and Karen Meech and Sonia Hernandez and Evan Hilgemann},
}
|
|
Eurographics 2023
project page
paper
bibtex
@article{chen2022:faces-through-time,
title = {What's in a Decade? Transforming Faces Through Time},
author = {Eric Ming Chen and Jin Sun and Apoorv Khandelwal and Dani Lischinski and Noah Snavely and Hadar Averbuch-Elor},
month = {May},
year = {2023},
journal = {Computer Graphics Forum},
volume = {42},
number = {2},
pages = {281--291},
}
|
|
ECCV 2022
project page
video
paper
code
bibtex
@inproceedings{schwenk2022:aokvqa,
title={A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge},
author={Dustin Schwenk and Apoorv Khandelwal and Christopher Clark and Kenneth Marino and Roozbeh Mottaghi},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
month = {October},
year={2022}
}
|
|
CVPR 2022
paper
video
code
bibtex
@inproceedings{khandelwal2022:embodied-clip,
author = {Apoorv Khandelwal and Luca Weihs and Roozbeh Mottaghi and Aniruddha Kembhavi},
title = {Simple but Effective: CLIP Embeddings for Embodied AI},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {14829--14838}
}
|
|
ICCV 2021 (Oral Presentation)
project page
paper
video
code
bibtex
@inproceedings{cui2021:whos-waldo,
title = {Who's Waldo? Linking People Across Text and Images},
author = {Claire Yuqing Cui and Apoorv Khandelwal and Yoav Artzi and Noah Snavely and Hadar Averbuch-Elor},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2021},
pages = {1374--1384}
}
|
|
NeurIPS 2020: Navigating the Broader Impacts of AI Research Workshop
paper
video
bibtex
@inproceedings{hanley2020:ethical-highlighter,
title = {An Ethical Highlighter for People-Centric Dataset Creation},
author = {Margot Hanley and Apoorv Khandelwal and Hadar Averbuch-Elor and Noah Snavely and Helen Nissenbaum},
booktitle = {Navigating the Broader Impacts of AI Research Workshop at the 34th Conference on Neural Information Processing Systems},
month = {December},
year = {2020}
}
|