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Tianyi Zhang
Tianyi Zhang
Stanford University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Simplifying Graph Convolutional Networks
F Wu, T Zhang, AH Souza Jr, C Fifty, T Yu, KQ Weinberger
Proceedings of the 36th International Conference on Machine Learning, 2019
18482019
BERTScore: Evaluating Text Generation with BERT
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
arXiv preprint arXiv:1904.09675, 2019
17422019
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
8422021
Revisiting few-sample BERT fine-tuning
T Zhang, F Wu, A Katiyar, KQ Weinberger, Y Artzi
arXiv preprint arXiv:2006.05987, 2020
2372020
Identifying mislabeled data using the area under the margin ranking
G Pleiss, T Zhang, E Elenberg, KQ Weinberger
Advances in Neural Information Processing Systems 33, 17044-17056, 2020
1292020
SWALP: Stochastic Weight Averaging in Low-Precision Training
G Yang, T Zhang, P Kirichenko, J Bai, AG Wilson, C De Sa
Proceedings of the 36th International Conference on Machine Learning, 2019
732019
Qpytorch: A low-precision arithmetic simulation framework
T Zhang, Z Lin, G Yang, C De Sa
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
412019
Holistic Evaluation of Language Models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
302022
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies
T Zhang, T Hashimoto
arXiv preprint arXiv:2104.05694, 2021
192021
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Y Lai, C Li, Y Wang, T Zhang, R Zhong, L Zettlemoyer, SW Yih, D Fried, ...
arXiv preprint arXiv:2211.11501, 2022
62022
Decentralized training of foundation models in heterogeneous environments
B Yuan, Y He, J Davis, T Zhang, T Dao, B Chen, PS Liang, C Re, C Zhang
Advances in Neural Information Processing Systems 35, 25464-25477, 2022
52022
Benchmarking Large Language Models for News Summarization
T Zhang, F Ladhak, E Durmus, P Liang, K McKeown, TB Hashimoto
arXiv preprint arXiv:2301.13848, 2023
42023
Trend detection via machine learning models
T Zhang, S ALTSCHUL, K Weinberger, M Griffiths, GM PLEISS
US Patent App. 16/715,118, 2021
22021
LADIS: Language disentanglement for 3D shape editing
I Huang, P Achlioptas, T Zhang, S Tulyakov, M Sung, L Guibas
arXiv preprint arXiv:2212.05011, 2022
12022
Coder Reviewer Reranking for Code Generation
T Zhang, T Yu, TB Hashimoto, M Lewis, W Yih, D Fried, SI Wang
arXiv preprint arXiv:2211.16490, 2022
12022
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
D Agarwal, AR Fabbri, S Han, W Kryscinski, F Ladhak, B Li, K McKeown, ...
arXiv preprint arXiv:2211.05886, 2022
2022
Statistical language models for simulating communication sessions
SA Altschul, R Ramakrishnan, HB Narangodage, KQ Weinberger, ...
US Patent App. 17/189,081, 2022
2022
TempLM: Distilling Language Models into Template-Based Generators
T Zhang, M Lee, L Li, E Shen, TB Hashimoto
arXiv preprint arXiv:2205.11055, 2022
2022
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Articles 1–18