| 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 | 4800 | 2021 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1298 | 2022 |
| Data noising as smoothing in neural network language models Z Xie, SI Wang, J Li, D Lévy, A Nie, D Jurafsky, AY Ng arXiv preprint arXiv:1703.02573, 2017 | 319 | 2017 |
| Dissent: Sentence representation learning from explicit discourse relations A Nie, ED Bennett, ND Goodman arXiv preprint arXiv:1710.04334, 2017 | 169* | 2017 |
| Moca: Measuring human-language model alignment on causal and moral judgment tasks A Nie, Y Zhang, AS Amdekar, C Piech, TB Hashimoto, T Gerstenberg Advances in Neural Information Processing Systems 36, 78360-78393, 2023 | 34 | 2023 |
| VetTag: improving automated veterinary diagnosis coding via large-scale language modeling Y Zhang, A Nie, A Zehnder, RL Page, J Zou NPJ digital medicine 2 (1), 35, 2019 | 28 | 2019 |
| DeepTag: inferring diagnoses from veterinary clinical notes A Nie, A Zehnder, RL Page, Y Zhang, AL Pineda, MA Rivas, ... NPJ digital medicine 1 (1), 60, 2018 | 27 | 2018 |
| Pragmatic issue-sensitive image captioning A Nie, R Cohn-Gordon, C Potts arXiv preprint arXiv:2004.14451, 2020 | 24 | 2020 |
| Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task S Ruan, A Nie, W Steenbergen, J He, JQ Zhang, M Guo, Y Liu, ... arXiv preprint arXiv:2304.04933, 2023 | 20 | 2023 |
| Waypoint transformer: Reinforcement learning via supervised learning with intermediate targets A Badrinath, Y Flet-Berliac, A Nie, E Brunskill Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
| Data-efficient pipeline for offline reinforcement learning with limited data A Nie, Y Flet-Berliac, D Jordan, W Steenbergen, E Brunskill Advances in Neural Information Processing Systems 35, 14810-14823, 2022 | 18 | 2022 |
| The Importance of Directional Feedback for LLM-based Optimizers A Nie, CA Cheng, A Kolobov, A Swaminathan arXiv preprint arXiv:2405.16434, 2024 | 16 | 2024 |
| 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 | 16 | 2024 |
| Llf-bench: Benchmark for interactive learning from language feedback CA Cheng, A Kolobov, D Misra, A Nie, A Swaminathan arXiv preprint arXiv:2312.06853, 2023 | 14 | 2023 |
| Giving feedback on interactive student programs with meta-exploration E Liu, M Stephan, A Nie, C Piech, E Brunskill, C Finn Advances in Neural Information Processing Systems 35, 36282-36294, 2022 | 13 | 2022 |
| Play to grade: Testing coding games as classifying markov decision process A Nie, E Brunskill, C Piech Advances in Neural Information Processing Systems 34, 1506-1518, 2021 | 12 | 2021 |
| Trace is the next autodiff: Generative optimization with rich feedback, execution traces, and llms CA Cheng, A Nie, A Swaminathan arXiv preprint arXiv:2406.16218, 2024 | 9* | 2024 |
| LitGen: Genetic literature recommendation guided by human explanations A Nie, AL Pineda, MW Wright, H Wand, B Wulf, HA Costa, RY Patel, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 67-78, 2019 | 8 | 2019 |
| Learning to explain: Answering why-questions via rephrasing A Nie, ED Bennett, ND Goodman arXiv preprint arXiv:1906.01243, 2019 | 6 | 2019 |
| Computational exploration to linguistic structures of future: Classification and categorization A Nie, JD Choi, J Shepard, P Wolff Proceedings of the 2015 conference of the North American Chapter of the …, 2015 | 5 | 2015 |
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu