| GPT-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 11405* | 2023 |
| The Pile: An 800GB Dataset of Diverse Text for Language Modeling L Gao, S Biderman, S Black, L Golding, T Hoppe, C Foster, J Phang, H He, ... arXiv preprint arXiv:2101.00027, 2020 | 2050* | 2020 |
| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... arXiv preprint arXiv:2110.08207, 2021 | 1848 | 2021 |
| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1799 | 2023 |
| 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 | 1395 | 2022 |
| GPT-NeoX-20B: An Open-Source Autoregressive Language Model S Black, S Biderman, E Hallahan, Q Anthony, L Gao, L Golding, H He, ... ACL Workshop on Challenges & Perspectives in Creating Large Language Models, 2022 | 964* | 2022 |
| A framework for few-shot language model evaluation L Gao, J Tow, S Biderman, S Black, A DiPofi, C Foster, L Golding, J Hsu, ... Github, 2021 | 805* | 2021 |
| GPT-Neo: Large scale autoregressive language modeling with mesh-tensorflow S Black, L Gao, P Wang, C Leahy, S Biderman | 783 | 2021 |
| Scaling Laws for Reward Model Overoptimization L Gao, J Schulman, J Hilton International Conference on Machine Learning, 2023 | 444 | 2023 |
| Language models can explain neurons in language models S Bills, N Cammarata, D Mossing, H Tillman, L Gao, G Goh, I Sutskever, ... OpenAI blog, 2023 | 265 | 2023 |
| Weak-to-Strong Generalization: Eliciting Strong Capabilities with Weak Supervision C Burns, P Izmailov, JH Kirchner, B Baker, L Gao, L Aschenbrenner, ... International Conference on Machine Learning (Oral), 2024 | 249 | 2024 |
| Scaling and evaluating sparse autoencoders L Gao, TD la Tour, H Tillman, G Goh, R Troll, A Radford, I Sutskever, ... International Conference on Learning Representations (Oral), 2024 | 135* | 2024 |
| Datasheet for the pile S Biderman, K Bicheno, L Gao arXiv preprint arXiv:2201.07311, 2022 | 62 | 2022 |
| Collaborative Storytelling with Large-scale Neural Language Models E Nichols*, L Gao*, R Gomez ACM SIGGRAPH Conference on Motion, Interaction and Games, 2020 | 59 | 2020 |
| Lessons from the trenches on reproducible evaluation of language models S Biderman, H Schoelkopf, L Sutawika, L Gao, J Tow, B Abbasi, AF Aji, ... arXiv preprint arXiv:2405.14782, 2024 | 42* | 2024 |
| On the sizes of OpenAI API models L Gao EleutherAI Blog, 2021 | 31 | 2021 |
| A framework for few-shot language model evaluation, September 2021 L Gao, J Tow, S Biderman, S Black, A DiPofi, C Foster, L Golding, J Hsu, ... URL https://doi. org/10.5281/zenodo 5371628, 0 | 28 | |
| Collaborative storytelling with social robots E Nichols, L Gao, Y Vasylkiv, R Gomez 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 17 | 2021 |
| Cut the carp: Fishing for zero-shot story evaluation S Matiana, JR Smith, R Teehan, L Castricato, S Biderman, L Gao, ... arXiv preprint arXiv:2110.03111, 2021 | 16 | 2021 |
| EleutherAI: Going Beyond "Open Science" to "Science in the Open" J Phang, H Bradley, L Gao, L Castricato, S Biderman arXiv preprint arXiv:2210.06413, 2022 | 14 | 2022 |
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