| 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 | 4839 | 2021 |
| Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022 | 1225 | 2022 |
| Colbertv2: Effective and efficient retrieval via lightweight late interaction K Santhanam, O Khattab, J Saad-Falcon, C Potts, M Zaharia arXiv preprint arXiv:2112.01488, 2021 | 423 | 2021 |
| {Heterogeneity-Aware} cluster scheduling policies for deep learning workloads D Narayanan, K Santhanam, F Kazhamiaka, A Phanishayee, M Zaharia 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020 | 258 | 2020 |
| Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp O Khattab, K Santhanam, XL Li, D Hall, P Liang, C Potts, M Zaharia arXiv preprint arXiv:2212.14024, 2022 | 226 | 2022 |
| Dspy: Compiling declarative language model calls into self-improving pipelines O Khattab, A Singhvi, P Maheshwari, Z Zhang, K Santhanam, ... arXiv preprint arXiv:2310.03714, 2023 | 206 | 2023 |
| On the opportunities and risks of foundation models. arXiv 2021 R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S Von Arx, ... arXiv preprint arXiv:2108.07258, 2023 | 113 | 2023 |
| PLAID: an efficient engine for late interaction retrieval K Santhanam, O Khattab, C Potts, M Zaharia Proceedings of the 31st ACM International Conference on Information …, 2022 | 77 | 2022 |
| Accelerating deep learning workloads through efficient multi-model execution D Narayanan, K Santhanam, A Phanishayee, M Zaharia NeurIPS Workshop on Systems for Machine Learning 20, 2018 | 63 | 2018 |
| Analysis and exploitation of dynamic pricing in the public cloud for ml training D Narayanan, K Santhanam, F Kazhamiaka, A Phanishayee, M Zaharia VLDB DISPA Workshop 2020, 2020 | 43 | 2020 |
| UDAPDR: unsupervised domain adaptation via LLM prompting and distillation of rerankers J Saad-Falcon, O Khattab, K Santhanam, R Florian, M Franz, S Roukos, ... arXiv preprint arXiv:2303.00807, 2023 | 27 | 2023 |
| Dspy: Compiling declarative language model calls into state-of-the-art pipelines O Khattab, A Singhvi, P Maheshwari, Z Zhang, K Santhanam, S Haq, ... The Twelfth International Conference on Learning Representations, 2024 | 25 | 2024 |
| ROLA: A New Distributed Transaction Protocol and Its Formal Analysis. S Liu, PC Ölveczky, K Santhanam, Q Wang, I Gupta, J Meseguer FASE, 77-93, 2018 | 20 | 2018 |
| Accelerating model search with model batching D Narayanan, K Santhanam, M Zaharia 1st Conference on Systems and Machine Learning (SysML), SysML 18, 2018 | 12 | 2018 |
| Moving beyond downstream task accuracy for information retrieval benchmarking K Santhanam, J Saad-Falcon, M Franz, O Khattab, A Sil, R Florian, ... arXiv preprint arXiv:2212.01340, 2022 | 10 | 2022 |
| DistIR: An intermediate representation for optimizing distributed neural networks K Santhanam, S Krishna, R Tomioka, A Fitzgibbon, T Harris Proceedings of the 1st Workshop on Machine Learning and Systems, 15-23, 2021 | 8 | 2021 |
| Alto: An efficient network orchestrator for compound ai systems K Santhanam, D Raghavan, MS Rahman, T Venkatesh, N Kunjal, ... Proceedings of the 4th Workshop on Machine Learning and Systems, 117-125, 2024 | 7 | 2024 |
| Cheaply estimating inference efficiency metrics for autoregressive transformer models D Narayanan, K Santhanam, P Henderson, R Bommasani, T Lee, ... Advances in Neural Information Processing Systems 36, 66518-66538, 2023 | 6 | 2023 |
| Cheaply evaluating inference efficiency metrics for autoregressive transformer APIs D Narayanan, K Santhanam, P Henderson, R Bommasani, T Lee, P Liang arXiv preprint arXiv:2305.02440, 2023 | 4 | 2023 |
| Distir: An intermediate representation and simulator for efficient neural network distribution K Santhanam, S Krishna, R Tomioka, T Harris, M Zaharia arXiv preprint arXiv:2111.05426, 2021 | 3 | 2021 |
