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Yao Zhao
Yao Zhao
Google Brain
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Cited by
Cited by
Year
Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
J Zhang, Y Zhao, M Saleh, P Liu
International conference on machine learning, 11328-11339, 2020
17852020
Adversarial attacks and defences competition
A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018
3222018
Paragraph-level neural question generation with maxout pointer and gated self-attention networks
Y Zhao, X Ni, Y Ding, Q Ke
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
3052018
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
2882023
The tethering of chromatin to the nuclear envelope supports nuclear mechanics
SM Schreiner, PK Koo, Y Zhao, SGJ Mochrie, MC King
Nature communications 6 (1), 7159, 2015
2082015
Planning with learned entity prompts for abstractive summarization
S Narayan, Y Zhao, J Maynez, G Simões, V Nikolaev, R McDonald
Transactions of the Association for Computational Linguistics 9, 1475-1492, 2021
108*2021
Talm: Tool augmented language models
A Parisi, Y Zhao, N Fiedel
arXiv preprint arXiv:2205.12255, 2022
982022
Slic-hf: Sequence likelihood calibration with human feedback
Y Zhao, R Joshi, T Liu, M Khalman, M Saleh, PJ Liu
arXiv preprint arXiv:2305.10425, 2023
622023
Calibrating sequence likelihood improves conditional language generation
Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu
The Eleventh International Conference on Learning Representations, 2022
492022
Investigating efficiently extending transformers for long input summarization
J Phang, Y Zhao, PJ Liu
arXiv preprint arXiv:2208.04347, 2022
392022
Statistical rejection sampling improves preference optimization
T Liu, Y Zhao, R Joshi, M Khalman, M Saleh, PJ Liu, J Liu
arXiv preprint arXiv:2309.06657, 2023
322023
Out-of-distribution detection and selective generation for conditional language models
J Ren, J Luo, Y Zhao, K Krishna, M Saleh, B Lakshminarayanan, PJ Liu
The Eleventh International Conference on Learning Representations, 2022
292022
Seal: Segment-wise extractive-abstractive long-form text summarization
Y Zhao, M Saleh, PJ Liu
arXiv preprint arXiv:2006.10213, 2020
252020
A well-composed text is half done! composition sampling for diverse conditional generation
S Narayan, G Simões, Y Zhao, J Maynez, D Das, M Collins, M Lapata
arXiv preprint arXiv:2203.15108, 2022
212022
ForumSum: A multi-speaker conversation summarization dataset
M Khalman, Y Zhao, M Saleh
Findings of the Association for Computational Linguistics: EMNLP 2021, 4592-4599, 2021
192021
Smart: Sentences as basic units for text evaluation
RK Amplayo, PJ Liu, Y Zhao, S Narayan
arXiv preprint arXiv:2208.01030, 2022
152022
Improved determination of subnuclear position enabled by three-dimensional membrane reconstruction
Y Zhao, SM Schreiner, PK Koo, P Colombi, MC King, SGJ Mochrie
Biophysical journal 111 (1), 19-24, 2016
102016
Self-evaluation improves selective generation in large language models
J Ren, Y Zhao, T Vu, PJ Liu, B Lakshminarayanan
arXiv preprint arXiv:2312.09300, 2023
52023
LiPO: Listwise Preference Optimization through Learning-to-Rank
T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ...
arXiv preprint arXiv:2402.01878, 2024
32024
Training text summarization neural networks with an extracted segments prediction objective
M Saleh, J Zhang, Y Zhao, PJ Liu
US Patent 10,885,436, 2021
32021
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