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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.
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Collaborations and top research areas from the last five years
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Mathematical Understanding of Large Language Models
Arora, S. (PI)
9/1/24 → 8/31/27
Project: Research project
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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
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Going beyond a black-box optimization view of deep learning
Arora, S. (PI)
4/7/20 → 10/31/23
Project: Research project
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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
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Unsupervised Learning with Provable Guarantees
Arora, S. (PI)
4/1/16 → 3/31/20
Project: Research project
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UNINTENTIONAL UNALIGNMENT: LIKELIHOOD DISPLACEMENT IN DIRECT PREFERENCE OPTIMIZATION
Razin, N., Malladi, S., Bhaskar, A., Chen, D., Arora, S. & Hanin, B., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 84908-84951 44 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A QUADRATIC SYNCHRONIZATION RULE FOR DISTRIBUTED DEEP LEARNING
Gu, X., Lyu, K., Arora, S., Zhang, J. & Huang, L., 2024.Research output: Contribution to conference › Paper › peer-review
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Can Models Learn Skill Composition from Examples?
Zhao, H., Kaur, S., Yu, D., Goyal, A. & Arora, S., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Wang, Z., Xia, M., He, L., Chen, H., Liu, Y., Zhu, R., Liang, K., Wu, X., Liu, H., Malladi, S., Chevalier, A., Arora, S. & Chen, D., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
Wu, X., Yu, D., Huang, Y., Russakovsky, O. & Arora, S., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations