Seuraa
Denny Zhou
Denny Zhou
Research Scientist, Google DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
116742022
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
56802023
Learning with Local and Global Consistency
D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf
Advances in Neural Information Processing Systems (NeurIPS), 2003
56202003
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
3491*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
34412023
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
21042011
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
2080*2023
Learning with hypergraphs: Clustering, classification, and embedding
D Zhou, J Huang, B Schölkopf
Advances in Neural Information Processing Systems (NeurIPS), 2007
17612007
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
15822023
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
12662023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
10552024
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in Neural Information Processing Systems (NeurIPS), 2003
10262003
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
8822020
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
7852022
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
7532007
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
6882023
Large language models as optimizers
C Yang, X Wang, Y Lu, H Liu, QV Le, D Zhou, X Chen
International Conference on Learning Representations (ICLR), 2024
669*2024
H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023. Self-consistency improves chain of thought reasoning in language models
X Wang, J Wei, D Schuurmans, QV Le
The Eleventh International Conference on Learning Representations, 2023
6672023
Learning from labeled and unlabeled data on a directed graph
D Zhou, J Huang, B Schölkopf
International conference on Machine learning (ICML), 2005
5702005
Spectral clustering and transductive learning with multiple views
D Zhou, CJC Burges
International conference on Machine learning (ICML), 2007
5652007
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Artikkelit 1–20