| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 6992 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3439 | 2024 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 2255 | 2024 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 1691 | 2024 |
| Ex machina: Personal attacks seen at scale E Wulczyn, N Thain, L Dixon Proceedings of the 26th international conference on world wide web, 1391-1399, 2017 | 1087 | 2017 |
| Measuring and mitigating unintended bias in text classification L Dixon, J Li, J Sorensen, N Thain, L Vasserman Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 67-73, 2018 | 1076 | 2018 |
| Glam: Efficient scaling of language models with mixture-of-experts N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ... International conference on machine learning, 5547-5569, 2022 | 1075 | 2022 |
| Nuanced metrics for measuring unintended bias with real data for text classification D Borkan, L Dixon, J Sorensen, N Thain, L Vasserman Companion proceedings of the 2019 world wide web conference, 491-500, 2019 | 667 | 2019 |
| Conversations gone awry: Detecting early signs of conversational failure J Zhang, J Chang, C Danescu-Niculescu-Mizil, L Dixon, Y Hua, ... Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 288 | 2018 |
| Toxicity detection: Does context really matter? J Pavlopoulos, J Sorensen, L Dixon, N Thain, I Androutsopoulos arXiv preprint arXiv:2006.00998, 2020 | 233 | 2020 |
| Large language models are competitive near cold-start recommenders for language-and item-based preferences S Sanner, K Balog, F Radlinski, B Wedin, L Dixon Proceedings of the 17th ACM conference on recommender systems, 890-896, 2023 | 212 | 2023 |
| IsaPlanner: A prototype proof planner in Isabelle L Dixon, J Fleuriot International Conference on Automated Deduction, 279-283, 2003 | 141 | 2003 |
| Patchscopes: A unifying framework for inspecting hidden representations of language models A Ghandeharioun, A Caciularu, A Pearce, L Dixon, M Geva arXiv preprint arXiv:2401.06102, 2024 | 137 | 2024 |
| Crowdsourcing subjective tasks: the case study of understanding toxicity in online discussions L Aroyo, L Dixon, N Thain, O Redfield, R Rosen Companion proceedings of the 2019 world wide web conference, 1100-1105, 2019 | 113 | 2019 |
| " we need structured output": Towards user-centered constraints on large language model output MX Liu, F Liu, AJ Fiannaca, T Koo, L Dixon, M Terry, CJ Cai Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | 111 | 2024 |
| Conjecture synthesis for inductive theories M Johansson, L Dixon, A Bundy Journal of automated reasoning 47 (3), 251-289, 2011 | 108 | 2011 |
| Transferring application data between devices VWK Chen, P Lee, GM Hecht, E Chen, JC Chen, MI Carrera, ... US Patent 9,872,174, 2018 | 89 | 2018 |
| Open-graphs and monoidal theories L Dixon, A Kissinger Mathematical Structures in Computer Science 23 (2), 308-359, 2013 | 69 | 2013 |
| Six attributes of unhealthy conversation I Price, J Gifford-Moore, J Fleming, S Musker, M Roichman, G Sylvain, ... arXiv preprint arXiv:2010.07410, 2020 | 64 | 2020 |
| Convai at semeval-2019 task 6: Offensive language identification and categorization with perspective and bert J Pavlopoulos, N Thain, L Dixon, I Androutsopoulos Proceedings of the 13th international Workshop on Semantic Evaluation, 571-576, 2019 | 64 | 2019 |
Nithum ThainGoogle DeepmindVerified email at google.com
