| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 1603 | 2024 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 821 | 2023 |
| 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 | 539 | 2023 |
| H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022. Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... arXiv preprint arXiv:2210.11416, 2022 | 101 | 2022 |
| Huai hsin Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... Le, and Jason Wei. Scaling instruction-finetuned language models. ArXiv, abs …, 2022 | 63 | 2022 |
| Pliable Index Coding S Brahma, C Fragouli IEEE International Symposium on Information Theory, 2251 - 2255, 2012 | 60 | 2012 |
| Sunipa Dev R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu …, 2023 | 53 | 2023 |
| H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... arXiv preprint arXiv:2210.11416 6 (7), 2022 | 50 | 2022 |
| Landcover classification in MRF context using Dempster-Shafer fusion for multisensor imagery A Sarkar, A Banerjee, N Banerjee, S Brahma, B Kartikeyan, ... IEEE transactions on image processing 14 (5), 634-645, 2005 | 50 | 2005 |
| Quantize-map-forward (QMF) relaying: An experimental study M Duarte, A Sengupta, S Brahma, C Fragouli, S Diggavi Proceedings of the fourteenth ACM international symposium on Mobile ad hoc …, 2013 | 41 | 2013 |
| Colt5: Faster long-range transformers with conditional computation J Ainslie, T Lei, M de Jong, S Ontañón, S Brahma, Y Zemlyanskiy, ... arXiv preprint arXiv:2303.09752, 2023 | 39 | 2023 |
| Improved Language Modeling by Decoding the Past S Brahma ACL 2019, 2019 | 30* | 2019 |
| Simple schedules for half-duplex networks S Brahma, A Özgür, C Fragouli 2012 IEEE International Symposium on Information Theory Proceedings, 1112-1116, 2012 | 30 | 2012 |
| Instruction-following evaluation for large language models J Zhou, T Lu, S Mishra, S Brahma, S Basu, Y Luan, D Zhou, L Hou arXiv preprint arXiv:2311.07911, 2023 | 29 | 2023 |
| Scaling instruction-finetuned language models (2022) HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... arXiv preprint arXiv:2210.11416 3, 2022 | 22 | 2022 |
| Pliable index coding: The multiple requests case S Brahma, C Fragouli Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on …, 2013 | 20 | 2013 |
| Learning explainable linguistic expressions with neural inductive logic programming for sentence classification P Sen, M Danilevsky, Y Li, S Brahma, M Boehm, L Chiticariu, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 17 | 2020 |
| Small but mighty: New benchmarks for split and rephrase L Zhang, H Zhu, S Brahma, Y Li arXiv preprint arXiv:2009.08560, 2020 | 17 | 2020 |
| Graph-based codes for quantize-map-and-forward relaying A Sengupta, S Brahma, A Özgür, C Fragouli, S Diggavi 2011 IEEE Information Theory Workshop, 140-144, 2011 | 17 | 2011 |
| 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 | 15 | 2024 |
Christina FragouliUCLA在 ucla.edu 的电子邮件经过验证
