Web20 Oct 2024 · Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. Large language models are zero-shot reasoners. Neural Information Processing Systems (NeurIPS), 2024. Web11 Apr 2024 · Takeshi Kojima; Shixiang (Shane) Gu; Machel Reid; Yutaka Matsuo; Yusuke Iwasawa; 2024: 6: LAION-5B: An Open Large-scale Dataset for Training Next Generation Image-text Models IF:4 Related Papers Related Patents Related Grants Related Orgs …
Data-Efficient Hierarchical Reinforcement Learning - NeurIPS
WebShixiang Shane Gu. OpenAI. Verified email at openai.com - Homepage. Deep Learning Artificial Intelligence Machine Learning Reinforcement Learning Robotics. Articles Cited by Public access Co-authors. ... S Gu, T Lillicrap, Z Ghahramani, RE Turner, S Levine. arXiv preprint arXiv:1611.02247, 2016. 347: WebTakeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa 2024.5. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed Chi 2024.5 tj hughes pillows
CSL seminar: Shixiang Shane Gu - YouTube
WebShixiang Shane Gu (顾世翔) is a Senior Research Scientist at Google Brain and a Visiting Associate Professor at the University of Tokyo, researching deep learning, reinforcement … WebScott Fujimoto and Shixiang Shane Gu. 2024. A minimalist approach to offline reinforcement learning. Advances in neural information processing systems 34 (2024), 20132–20145. Web11 Apr 2024 · [5] Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. Large language models are zero-shot reasoners. arXiv preprint arXiv:2205.11916, 2024. [6] Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, and Jian-Guang Lou. Tapex: Table pre-training via learning a neural sql executor. tj hughes trainers