| Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... Transactions on Machine Learning Research, 2022 | 635 | 2022 |
| STaR: Bootstrapping reasoning with reasoning E Zelikman, Y Wu, J Mu, ND Goodman NeurIPS 2022, 2022 | 270* | 2022 |
| Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions E Zelikman, Q Huang, G Poesia, ND Goodman, N Haber NeurIPS 2023 (Spotlight), 2022 | 39* | 2022 |
| Hypothesis search: Inductive reasoning with language models R Wang, E Zelikman, G Poesia, Y Pu, N Haber, ND Goodman ICLR 2024, 2023 | 24 | 2023 |
| Evaluating the disentanglement of deep generative models through manifold topology S Zhou, E Zelikman, F Lu, AY Ng, G Carlsson, S Ermon ICLR 2021, 2020 | 22 | 2020 |
| Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models E Zelikman, S Zhou, J Irvin, C Raterink, H Sheng, J Kelly, R Rajagopal, ... NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, 2020 | 20 | 2020 |
| Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics E Kreiss, C Bennett, S Hooshmand, E Zelikman, MR Morris, C Potts EMNLP 2022, 2022 | 17 | 2022 |
| CRUDE: Calibrating Regression Uncertainty Distributions Empirically E Zelikman, C Healy, S Zhou, A Avati ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning, 2020 | 16* | 2020 |
| Certified reasoning with language models G Poesia, K Gandhi, E Zelikman, ND Goodman arXiv preprint arXiv:2306.04031, 2023 | 13 | 2023 |
| Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation E Zelikman, E Lorch, L Mackey, AT Kalai NeurIPS 2023 Workshop on Optimization for Machine Learning, 2023 | 7 | 2023 |
| Just one byte (per gradient): A note on low-bandwidth decentralized language model finetuning using shared randomness E Zelikman, Q Huang, P Liang, N Haber, ND Goodman arXiv preprint arXiv:2306.10015, 2023 | 6 | 2023 |
| Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency E Zelikman, WA Ma, JE Tran, D Yang, JD Yeatman, N Haber EMNLP 2023, 2023 | 5 | 2023 |
| Contextual Salience for Fast and Accurate Sentence Vectors E Zelikman, R Socher arXiv preprint arXiv:1803.08493, 2018 | 4* | 2018 |
| SkyGPT: Probabilistic Ultra-short-term Solar Forecasting Using Synthetic Sky Images from Physics-constrained VideoGPT Y Nie, E Zelikman, A Scott, Q Paletta, A Brandt Advances in Applied Energy, 100172, 2023 | 3* | 2023 |
| Specialized program: Generative adversarial networks (GANS) S Zhou, E Zhou, E Zelikman | 2 | 2020 |
| Quiet-STaR: Language models can teach themselves to think before speaking E Zelikman, G Harik, Y Shao, V Jayasiri, N Haber, ND Goodman arXiv preprint arXiv:2403.09629, 2024 | 1 | 2024 |
| Transferable Adversarial Attacks on Deep Reinforcement Learning X Pan, Y Cao, X Wu, E Zelikman, C Xiao, Y Sui, R Chakraborty, ... Short Paper in CVPR 2020 Workshop on Adversarial Machine Learning in …, 2020 | 1* | 2020 |
| ContextRef: Evaluating Referenceless Metrics For Image Description Generation E Kreiss, E Zelikman, C Potts, N Haber ICLR 2024, 2023 | | 2023 |
| Lexinvariant Language Models Q Huang, E Zelikman, SL Chen, Y Wu, G Valiant, P Liang NeurIPS 2023 (Spotlight), 2023 | | 2023 |
| Sky Image Prediction Using Generative Adversarial Networks for Solar Forecasting Y Nie, A Scott, E Zelikman, A Brandt ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | | 2021 |
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
