| Gorilla: Large language model connected with massive apis SG Patil, T Zhang, X Wang, JE Gonzalez arXiv preprint arXiv:2305.15334, 2023 | 217 | 2023 |
| AgentBench: Evaluating LLMs as Agents X Liu, H Yu, H Zhang, Y Xu, X Lei, H Lai, Y Gu, H Ding, K Men, K Yang, ... arXiv preprint arXiv:2308.03688, 2023 | 194* | 2023 |
| Synetgy: Algorithm-hardware co-design for convnet accelerators on embedded fpgas Y Yang, Q Huang, B Wu, T Zhang, L Ma, G Gambardella, M Blott, ... Proceedings of the 2019 ACM/SIGDA international symposium on field …, 2019 | 137 | 2019 |
| Contrastive code representation learning P Jain, A Jain, T Zhang, P Abbeel, JE Gonzalez, I Stoica arXiv preprint arXiv:2007.04973, 2020 | 128 | 2020 |
| GenAx: A genome sequencing accelerator D Fujiki, A Subramaniyan, T Zhang, Y Zeng, R Das, D Blaauw, ... 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 101 | 2018 |
| ANODEV2: A coupled neural ODE framework T Zhang, Z Yao, A Gholami, JE Gonzalez, K Keutzer, MW Mahoney, ... Advances in Neural Information Processing Systems 32, 2019 | 97 | 2019 |
| Contrastive learning as goal-conditioned reinforcement learning B Eysenbach, T Zhang, S Levine, RR Salakhutdinov Advances in Neural Information Processing Systems 35, 35603-35620, 2022 | 92 | 2022 |
| Tempera: Test-time prompting via reinforcement learning T Zhang, X Wang, D Zhou, D Schuurmans, JE Gonzalez arXiv preprint arXiv:2211.11890, 2022 | 83 | 2022 |
| Noveld: A simple yet effective exploration criterion T Zhang, H Xu, X Wang, Y Wu, K Keutzer, JE Gonzalez, Y Tian Advances in Neural Information Processing Systems 34, 25217-25230, 2021 | 59 | 2021 |
| Bebold: Exploration beyond the boundary of explored regions T Zhang, H Xu, X Wang, Y Wu, K Keutzer, JE Gonzalez, Y Tian arXiv preprint arXiv:2012.08621, 2020 | 46 | 2020 |
| Made: Exploration via maximizing deviation from explored regions T Zhang, P Rashidinejad, J Jiao, Y Tian, JE Gonzalez, S Russell Advances in Neural Information Processing Systems 34, 9663-9680, 2021 | 42 | 2021 |
| Making linear mdps practical via contrastive representation learning T Zhang, T Ren, M Yang, J Gonzalez, D Schuurmans, B Dai International Conference on Machine Learning, 26447-26466, 2022 | 40 | 2022 |
| The wisdom of hindsight makes language models better instruction followers T Zhang, F Liu, J Wong, P Abbeel, JE Gonzalez International Conference on Machine Learning, 41414-41428, 2023 | 37 | 2023 |
| Multitask vision-language prompt tuning S Shen, S Yang, T Zhang, B Zhai, JE Gonzalez, K Keutzer, T Darrell Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 35 | 2024 |
| Multi-agent collaboration via reward attribution decomposition T Zhang, H Xu, X Wang, Y Wu, K Keutzer, JE Gonzalez, Y Tian arXiv preprint arXiv:2010.08531, 2020 | 35 | 2020 |
| Controllable text-to-image generation with gpt-4 T Zhang, Y Zhang, V Vineet, N Joshi, X Wang arXiv preprint arXiv:2305.18583, 2023 | 30 | 2023 |
| Efficient planning in a compact latent action space Z Jiang, T Zhang, M Janner, Y Li, T Rocktäschel, E Grefenstette, Y Tian arXiv preprint arXiv:2208.10291, 2022 | 29 | 2022 |
| Raft: Adapting language model to domain specific rag T Zhang, SG Patil, N Jain, S Shen, M Zaharia, I Stoica, JE Gonzalez arXiv preprint arXiv:2403.10131, 2024 | 28 | 2024 |
| Spectral decomposition representation for reinforcement learning T Ren, T Zhang, L Lee, JE Gonzalez, D Schuurmans, B Dai arXiv preprint arXiv:2208.09515, 2022 | 23 | 2022 |
| A free lunch from the noise: Provable and practical exploration for representation learning T Ren, T Zhang, C Szepesvári, B Dai Uncertainty in Artificial Intelligence, 1686-1696, 2022 | 19 | 2022 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
