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Denny Zhou
Denny Zhou
Research Scientist, Google DeepMind
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
8113*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
55182003
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
45002023
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
2633*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
25952023
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
20542011
Learning with hypergraphs: Clustering, classification, and embedding
D Zhou, J Huang, B Schölkopf
Advances in Neural Information Processing Systems (NeurIPS), 2007
16672007
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
1424*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
12202023
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in Neural Information Processing Systems (NeurIPS), 2003
10162003
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
9282023
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
7922020
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
7472007
Spectral clustering and transductive learning with multiple views
D Zhou, CJC Burges
International conference on Machine learning (ICML), 2007
5632007
Learning from labeled and unlabeled data on a directed graph
D Zhou, J Huang, B Schölkopf
International conference on Machine learning (ICML), 2005
5612005
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
537*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
5142023
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
5062007
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
4372012
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