| 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 | 758 | 2022 |
| Prompt programming for large language models: Beyond the few-shot paradigm L Reynolds, K McDonell Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021 | 566 | 2021 |
| Gpt-neox-20b: An open-source autoregressive language model S Black, S Biderman, E Hallahan, Q Anthony, L Gao, L Golding, H He, ... arXiv preprint arXiv:2204.06745, 2022 | 521 | 2022 |
| Role play with large language models M Shanahan, K McDonell, L Reynolds Nature 623 (7987), 493-498, 2023 | 97 | 2023 |
| A framework for few-shot language model evaluation L Gao, J Tow, S Biderman, S Black, A DiPofi, C Foster, L Golding, J Hsu, ... Version v0. 0.1. Sept, 8, 2021 | 72 | 2021 |
| A framework for few-shot language model evaluation, 12 2023 L Gao, J Tow, B Abbasi, S Biderman, S Black, A DiPofi, C Foster, ... URL https://zenodo. org/records/10256836 7, 0 | 31 | |
| Gpt-neox-20b: An open-source autoregressive language model, 2022 S Black, S Biderman, E Hallahan, Q Anthony, L Gao, L Golding, H He, ... URL https://arxiv. org/abs/2204.06745, 2022 | 28 | 2022 |
| Researching alignment research: Unsupervised analysis JH Kirchner, L Smith, J Thibodeau, K McDonell, L Reynolds arXiv preprint arXiv:2206.02841, 2022 | 7 | 2022 |
| Multiversal views on language models L Reynolds, K McDonell arXiv preprint arXiv:2102.06391, 2021 | 6 | 2021 |
