| Chain of thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou Advances in Neural Information Processing Systems (NeurIPS), 2022 | 8201 | 2022 |
| Learning with Local and Global Consistency D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf Advances in Neural Information Processing Systems (NeurIPS), 2003 | 5522 | 2003 |
| PaLM: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research (JMLR), 2023 | 4508 | 2023 |
| Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... Transactions on Machine Learning Research (TMLR), 2022 | 2642* | 2022 |
| 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 (JMLR), 2023 | 2601 | 2023 |
| Recommender systems with social regularization H Ma, D Zhou, C Liu, MR Lyu, I King ACM International Conference on Web Search and Data Mining (WSDM), 2011 | 2054 | 2011 |
| Learning with hypergraphs: Clustering, classification, and embedding D Zhou, J Huang, B Schölkopf Advances in Neural Information Processing Systems (NeurIPS), 2007 | 1667 | 2007 |
| Self-consistency improves chain of thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, D Zhou International Conference on Learning Representations (ICLR), 2023 | 1427* | 2023 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1220 | 2023 |
| Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in Neural Information Processing Systems (NeurIPS), 2003 | 1016 | 2003 |
| Least-to-Most Prompting Enables Complex Reasoning in Large Language Models D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, ... International Conference on Learning Representations (ICLR), 2023 | 929 | 2023 |
| MobileBERT: a compact task-agnostic BERT for resource-limited devices Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou Annual Meeting of the Association for Computational Linguistics (ACL), 2020 | 792 | 2020 |
| Semi-supervised graph-based hyperspectral image classification G Camps-Valls, TVB Marsheva, D Zhou IEEE transactions on Geoscience and Remote Sensing 45 (10), 3044-3054, 2007 | 747 | 2007 |
| Spectral clustering and transductive learning with multiple views D Zhou, CJC Burges International conference on Machine learning (ICML), 2007 | 563 | 2007 |
| Learning from labeled and unlabeled data on a directed graph D Zhou, J Huang, B Schölkopf International conference on Machine learning (ICML), 2005 | 561 | 2005 |
| Challenging big-bench tasks and whether chain-of-thought can solve them M Suzgun, N Scales, N Schärli, S Gehrmann, Y Tay, HW Chung, ... arXiv preprint arXiv:2210.09261, 2022 | 538* | 2022 |
| The flan collection: Designing data and methods for effective instruction tuning S Longpre, L Hou, T Vu, A Webson, HW Chung, Y Tay, D Zhou, QV Le, ... International Conference on Machine Learning (ICML), 2023 | 516 | 2023 |
| Evolutionary spectral clustering by incorporating temporal smoothness Y Chi, X Song, D Zhou, K Hino, BL Tseng ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007 | 506 | 2007 |
| Query suggestion using hitting time Q Mei, D Zhou, K Church ACM Conference on Information and Knowledge Management (CIKM), 2008 | 488* | 2008 |
| Learning from the Wisdom of Crowds by Minimax Entropy D Zhou, JC Platt, S Basu, Y Mao Advances in Neural Information Processing Systems (NeurIPS), 2012 | 437 | 2012 |
Jason WeiOpenAIVerified email at google.com
