| Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), eabd9338, 2021 | 1168* | 2021 |
| Toward trustworthy AI development: mechanisms for supporting verifiable claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 440 | 2020 |
| Compute trends across three eras of machine learning J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 402 | 2022 |
| Position: Will we run out of data? Limits of LLM scaling based on human-generated data P Villalobos, A Ho, J Sevilla, T Besiroglu, L Heim, M Hobbhahn Forty-first International Conference on Machine Learning, 0 | 242* | |
| Machine learning model sizes and the parameter gap P Villalobos, J Sevilla, T Besiroglu, L Heim, A Ho, M Hobbhahn arXiv preprint arXiv:2207.02852, 2022 | 76 | 2022 |
| Early human judgment forecasts of human monkeypox, May 2022 T McAndrew, MS Majumder, AA Lover, S Venkatramanan, P Bocchini, ... The Lancet Digital Health 4 (8), e569-e571, 2022 | 29 | 2022 |
| Algorithmic progress in language models A Ho, T Besiroglu, E Erdil, D Owen, R Rahman, ZC Guo, D Atkinson, ... arXiv preprint arXiv:2403.05812, 2024 | 26 | 2024 |
| Chinchilla Scaling: A replication attempt T Besiroglu, E Erdil, M Barnett, J You arXiv preprint arXiv:2404.10102, 2024 | 25 | 2024 |
| Toward trustworthy AI development: mechanisms for supporting verifiable claims (2020) M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 24 | 2020 |
| Economic impacts of AI-augmented R&D T Besiroglu, N Emery-Xu, N Thompson Research Policy 53 (7), 105037, 2024 | 23 | 2024 |
| Trends in GPU price-performance M Hobbhahn, T Besiroglu EPOCH. June 27, 2022 | 23 | 2022 |
| Algorithmic progress in computer vision E Erdil, T Besiroglu arXiv preprint arXiv:2212.05153, 2022 | 22* | 2022 |
| Estimating training compute of Deep Learning models J Sevilla, L Heim, M Hobbhahn, T Besiroglu, A Ho, P Villalobos Epoch, January 20, 2022 | 19 | 2022 |
| The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? T Besiroglu, SA Bergerson, A Michael, L Heim, X Luo, N Thompson arXiv preprint arXiv:2401.02452, 2024 | 17 | 2024 |
| Explosive growth from AI automation: A review of the arguments E Erdil, T Besiroglu arXiv preprint arXiv:2309.11690, 2023 | 17 | 2023 |
| International Scientific Report on the Safety of Advanced AI (Interim Report) Y Bengio, S Mindermann, D Privitera, T Besiroglu, R Bommasani, ... arXiv preprint arXiv:2412.05282, 2024 | 16* | 2024 |
| Frontiermath: A benchmark for evaluating advanced mathematical reasoning in ai E Glazer, E Erdil, T Besiroglu, D Chicharro, E Chen, A Gunning, ... arXiv preprint arXiv:2411.04872, 2024 | 14 | 2024 |
| Aggregating human judgment probabilistic predictions of the safety, efficacy, and timing of a COVID-19 vaccine T McAndrew, J Cambeiro, T Besiroglu Vaccine 40 (15), 2331-2341, 2022 | 10 | 2022 |
| Chimeric forecasting: combining probabilistic predictions from computational models and human judgment T McAndrew, A Codi, J Cambeiro, T Besiroglu, D Braun, E Chen, ... BMC Infectious Diseases 22 (1), 833, 2022 | 9 | 2022 |
| Limits to the Energy Efficiency of CMOS Microprocessors A Ho, E Erdil, T Besiroglu 2023 IEEE International Conference on Rebooting Computing (ICRC), 1-10, 2023 | 8 | 2023 |
