| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4661 | 2021 |
| DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 373 | 2023 |
| Ask me anything: A simple strategy for prompting language models S Arora, A Narayan, MF Chen, L Orr, N Guha, K Bhatia, I Chami, F Sala, ... International Conference on Learning Representations (ICLR), 2022 | 221 | 2022 |
| Can foundation models wrangle your data? A Narayan, I Chami, L Orr, S Arora, C Ré Proceedings of the International Conference on Very Large Databases (PVLDB), 2022 | 199 | 2022 |
| Contextual embeddings: When are they worth it? S Arora, A May, J Zhang, C Ré Association for Computational Linguistics (ACL), 2020 | 92 | 2020 |
| A temperature-mapping molecular sensor for polyurethane-based elastomers BP Mason, M Whittaker, J Hemmer, S Arora, A Harper, S Alnemrat, ... Applied Physics Letters (APL), 2016 | 72* | 2016 |
| Language models enable simple systems for generating structured views of heterogeneous data lakes S Arora, B Yang, S Eyuboglu, A Narayan, A Hojel, I Trummer, C Ré Proceedings of the International Conference on Very Large Databases (PVLDB), 2023 | 68 | 2023 |
| Zoology: Measuring and improving recall in efficient language models S Arora, S Eyuboglu, A Timalsina, I Johnson, M Poli, J Zou, A Rudra, C Ré International Conference on Learning Representations (ICLR), 2023 | 64 | 2023 |
| Bootleg: Chasing the tail with self-supervised named entity disambiguation L Orr, M Leszczynski, S Arora, S Wu, N Guha, X Ling, C Re Conference on Innovative Data Systems Research (CIDR), 2020 | 57 | 2020 |
| Simple linear attention language models balance the recall-throughput tradeoff S Arora, S Eyuboglu, M Zhang, A Timalsina, S Alberti, D Zinsley, J Zou, ... International Conference on Machine Learning (ICML), 2024 | 49 | 2024 |
| Monarch mixer: A simple sub-quadratic gemm-based architecture D Fu, S Arora, J Grogan, I Johnson, ES Eyuboglu, A Thomas, B Spector, ... Advances in Neural Information Processing Systems (NeurIPS), 2024 | 43 | 2024 |
| Optimizing declarative graph queries at large scale Q Zhang, A Acharya, H Chen, S Arora, A Chen, V Liu, BT Loo Proceedings of the International Conference on Management of Data (SIGMOD), 2019 | 21 | 2019 |
| Reasoning over public and private data in retrieval-based systems S Arora, P Lewis, A Fan, J Kahn, C Ré Transactions of the Association for Computational Linguistics (TACL), 2023 | 18* | 2023 |
| Control of multiple microrobots with multiscale magnetic field superposition E Steager, D Wong, J Wang, S Arora, V Kumar International Conference on Manipulation, Automation and Robotics at Small …, 2017 | 13 | 2017 |
| Relic: Investigating large language model responses using self-consistency F Cheng, V Zouhar, S Arora, M Sachan, H Strobelt, M El-Assady Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), 2024 | 11 | 2024 |
| Benchmarking and building long-context retrieval models with loco and m2-bert J Saad-Falcon, DY Fu, S Arora, N Guha, C Ré International Conference on Machine Learning (ICML), 2024 | 11 | 2024 |
| Metadata shaping: A simple approach for knowledge-enhanced language models S Arora, S Wu, E Liu, C Ré Findings of the Association for Computational Linguistics (ACL), 2022 | 11 | 2022 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? S Arora, C Ré AAAI 2023 Workshop on PPAI, 2022 | 5 | 2022 |
| Just read twice: closing the recall gap for recurrent language models S Arora, A Timalsina, A Singhal, B Spector, S Eyuboglu, X Zhao, A Rao, ... arXiv preprint arXiv:2407.05483, 2024 | 4 | 2024 |
| Optimistic Verifiable Training by Controlling Hardware Nondeterminism M Srivastava, S Arora, D Boneh Advances in Neural Information Processing Systems (NeurIPS), 2024 | 4 | 2024 |
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu