| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1368 | 2023 |
| Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), eabd9338, 2021 | 1021 | 2021 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 924 | 2021 |
| Teaching language models to support answers with verified quotes J Menick, M Trebacz, V Mikulik, J Aslanides, F Song, M Chadwick, ... arXiv preprint arXiv:2203.11147, 2022 | 175 | 2022 |
| Alignment of language agents Z Kenton, T Everitt, L Weidinger, I Gabriel, V Mikulik, G Irving arXiv preprint arXiv:2103.14659, 2021 | 142 | 2021 |
| Risks from learned optimization in advanced machine learning systems E Hubinger, C van Merwijk, V Mikulik, J Skalse, S Garrabrant arXiv preprint arXiv:1906.01820, 2019 | 127 | 2019 |
| The DeepMind JAX Ecosystem, 2020 I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind 18, 2010 | 99 | 2010 |
| Specification gaming: the flip side of AI ingenuity V Krakovna, J Uesato, V Mikulik, M Rahtz, T Everitt, R Kumar, Z Kenton, ... DeepMind Blog 3, 2020 | 96 | 2020 |
| The effectiveness and perceived burden of nonpharmaceutical interventions against COVID-19 transmission: a modelling study with 41 countries JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ... MedRxiv, 2020.05. 28.20116129, 2020 | 84 | 2020 |
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| Tracr: Compiled transformers as a laboratory for interpretability D Lindner, J Kramár, S Farquhar, M Rahtz, T McGrath, V Mikulik Advances in Neural Information Processing Systems 36, 2024 | 45 | 2024 |
| Does circuit analysis interpretability scale? evidence from multiple choice capabilities in chinchilla T Lieberum, M Rahtz, J Kramár, N Nanda, G Irving, R Shah, V Mikulik arXiv preprint arXiv:2307.09458, 2023 | 43 | 2023 |
| Meta-trained agents implement bayes-optimal agents V Mikulik, G Delétang, T McGrath, T Genewein, M Martic, S Legg, ... Advances in neural information processing systems 33, 18691-18703, 2020 | 41 | 2020 |
| The hydra effect: Emergent self-repair in language model computations T McGrath, M Rahtz, J Kramar, V Mikulik, S Legg arXiv preprint arXiv:2307.15771, 2023 | 35 | 2023 |
| Neural networks are a priori biased towards boolean functions with low entropy C Mingard, J Skalse, G Valle-Pérez, D Martínez-Rubio, V Mikulik, ... arXiv preprint arXiv:1909.11522, 2019 | 28 | 2019 |
| Algorithms for causal reasoning in probability trees T Genewein, T McGrath, G Delétang, V Mikulik, M Martic, S Legg, ... arXiv preprint arXiv:2010.12237, 2020 | 20 | 2020 |
| Causal analysis of agent behavior for ai safety G Déletang, J Grau-Moya, M Martic, T Genewein, T McGrath, V Mikulik, ... arXiv preprint arXiv:2103.03938, 2021 | 10 | 2021 |
| Challenges with unsupervised LLM knowledge discovery S Farquhar, V Varma, Z Kenton, J Gasteiger, V Mikulik, R Shah arXiv preprint arXiv:2312.10029, 2023 | 9 | 2023 |
