| 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 | 4297 | 2021 |
| 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 | 94 | 2023 |
| & Liang, P.(2021). 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, 0 | 72 | |
| On the opportunities and risks of foundation models (2021) R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2022 | 63 | 2022 |
| Calibrated Model-Based Deep Reinforcement Learning A Malik, V Kuleshov, J Song, D Nemer, H Seymour, S Ermon International Conference on Machine Learning, 4314-4323, 2019 | 63 | 2019 |
| Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems A Malik, M Wu, V Vasavada, J Song, M Coots, J Mitchell, N Goodman, ... International Conference on Educational Data Mining, 2021 | 31* | 2021 |
| Code in place: Online section leading for scalable human-centered learning C Piech, A Malik, K Jue, M Sahami Proceedings of the 52nd acm technical symposium on computer science
, 2021 | 24 | 2021 |
| On the power of adaptivity in statistical adversaries G Blanc, J Lange, A Malik, LY Tan Conference on Learning Theory, 5030-5061, 2022 | 11 | 2022 |
| The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances A Nie, Y Chandak, M Suzara, A Malik, J Woodrow, M Peng, M Sahami, ... OSF Preprints, 2024 | 10 | 2024 |
| Using latent variable models to observe academic pathways N Gruver arXiv preprint arXiv:1905.13383, 2019 | 10 | 2019 |
| The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response C Piech, A Malik, LM Scott, RT Chang, C Lin AAAI Conference on Artificial Intelligence, 2020 | 9 | 2020 |
| Ai teaches the art of elegant coding: Timely, fair, and helpful style feedback in a global course J Woodrow, A Malik, C Piech Proceedings of the 55th ACM Technical Symposium on Computer Science
, 2024 | 5 | 2024 |
| Code in Place 2023: Understanding learning and teaching at scale through a massive global classroom A Malik, J Woodrow, B Capoor, T Jefferson, M Li, S Wang, P Wei, ... | 4 | 2023 |
| Popular decision tree algorithms are provably noise tolerant G Blanc, J Lange, A Malik, LY Tan Proceedings of the 39 th International Conference on Machine Learning
, 2022 | 4 | 2022 |
| Lifting uniform learners via distributional decomposition G Blanc, J Lange, A Malik, LY Tan Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1755-1767, 2023 | 3 | 2023 |
| Digitising the vision test C Piech, A Malik, EJ Topol The Lancet 398 (10308), 1296, 2021 | 2 | 2021 |
| From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation A Malik, S Mayhew, C Piech, K Bicknell arXiv preprint arXiv:2406.03030, 2024 | 1 | 2024 |
| Learners Teaching Novices: An Uplifting Alternative Assessment A Malik, J Woodrow, C Piech Proceedings of the 55th ACM Technical Symposium on Computer Science
, 2024 | 1 | 2024 |
| TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses A Malik, J Woodrow, C Wang, C Piech Proceedings of the 2024 on Innovation and Technology in Computer Science
, 2024 | | 2024 |
| A Summer Introductory Programming Course with Diversity Awareness IO Jaramillo, K Garcés, JT Bermejo, AR Malik, AE Duque 2023 IEEE Frontiers in Education Conference (FIE), 1-5, 2023 | | 2023 |
Chris PiechAssistant Professor, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
