Projects per year
Fingerprint
Dive into the research topics where Sanjeev Arora is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Mathematical Understanding of Large Language Models
Arora, S. (PI)
9/1/24 → 8/31/27
Project: Research project
-
Collaborative Research:RI:Medium:MoDL:Mathematical and Conceptual Understanding of Large Language Models
Arora, S. (PI)
NSF - National Science Foundation
10/1/22 → 9/30/26
Project: Research project
-
Going beyond a black-box optimization view of deep learning
Arora, S. (PI)
4/7/20 → 10/31/23
Project: Research project
-
AF: Large: Collaborative Research: Nonconvex methods and models for learning: Toward algorithms with provable and interpretable guarantees
Arora, S. (PI)
NSF - National Science Foundation
6/1/17 → 5/31/23
Project: Research project
-
Unsupervised Learning with Provable Guarantees
Arora, S. (PI)
4/1/16 → 3/31/20
Project: Research project
-
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set
Wu, Y., Zhao, H. & Arora, S., 2026, In: Transactions on Machine Learning Research. 2026, AprilResearch output: Contribution to journal › Article › peer-review
-
Advancing science- and evidence-based AI policy
Bommasani, R., Arora, S., Chayes, J., Choi, Y., Cuéllar, M. F., Fei-Fei, L., Ho, D. E., Jurafsky, D., Koyejo, S., Lakkaraju, H., Narayanan, A., Nelson, A., Pierson, E., Pineau, J., Singer, S., Varoquaux, G., Venkatasubramanian, S., Stoica, I., Liang, P. & Song, D., Jul 31 2025, In: Science. 389, 6759, p. 459-461 3 p.Research output: Contribution to journal › Review article › peer-review
Open Access18 Link opens in a new tab Scopus citations -
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
Park, S., Panigrahi, A., Cheng, Y., Yu, D., Goyal, A. & Arora, S., 2025, In: Proceedings of Machine Learning Research. 267, p. 48192-48244 53 p.Research output: Contribution to journal › Conference article › peer-review
1 Link opens in a new tab Scopus citations -
INSTRUCT-SKILLMIX: A POWERFUL PIPELINE FOR LLM INSTRUCTION TUNING
Kaur, S., Park, S., Goyal, A. & Arora, S., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 7030-7171 142 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Scopus citations -
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
Zheng, Z., Cheng, Z., Shen, Z., Zhou, S., Liu, K., He, H., Li, D., Wei, S., Hao, H., Yao, J., Sheng, P., Wang, Z., Chai, W., Korolova, A., Henderson, P., Arora, S., Viswanath, P., Shang, J. & Xie, S., 2025, 39th Conference on Neural Information Processing Systems, NeurIPS 2025. Neural information processing systems foundation, p. 116099-116162 64 p. (Advances in Neural Information Processing Systems; vol. 38).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution