| Language Models are Few-shot Learners TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... arXiv preprint arXiv:2005.14165, 2020 | 40712* | 2020 |
| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 4240 | 2023 |
| Glide: Towards photorealistic image generation and editing with text-guided diffusion models A Nichol, P Dhariwal, A Ramesh, P Shyam, P Mishkin, B McGrew, ... arXiv preprint arXiv:2112.10741, 2021 | 2875 | 2021 |
| 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 | 1605 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 411 | 2024 |
| Text and code embeddings by contrastive pre-training A Neelakantan, T Xu, R Puri, A Radford, JM Han, J Tworek, Q Yuan, ... arXiv preprint arXiv:2201.10005, 2022 | 363 | 2022 |
| Model-Based Active Exploration P Shyam, W Jaśkowski, F Gomez International Conference on Machine Learning (ICML), 2019, 2018 | 213 | 2018 |
| Attentive Recurrent Comparators P Shyam, S Gupta, A Dukkipati International Conference on Machine Learning (ICML), 2017, 3173-3181, 2017 | 154 | 2017 |
| Training agents using upside-down reinforcement learning RK Srivastava, P Shyam, F Mutz, W Jaśkowski, J Schmidhuber arXiv preprint arXiv:1912.02877, 2019 | 127 | 2019 |
| Artificial Intelligence for Prosthetics - Challenge Solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, SF Carroll, B Zhou, H Zeng, ... arXiv preprint arXiv:1902.02441, 2019 | 49 | 2019 |
| Unsupervised neural machine translation with generative language models only JM Han, I Babuschkin, H Edwards, A Neelakantan, T Xu, S Polu, A Ray, ... arXiv preprint arXiv:2110.05448, 2021 | 24 | 2021 |
Wojciech JaśkowskiSnowflakeVerified email at snowflake.com
