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Tianyu Gao
Tianyu Gao
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Simcse: Simple contrastive learning of sentence embeddings
T Gao, X Yao, D Chen
arXiv preprint arXiv:2104.08821, 2021
9532021
Making pre-trained language models better few-shot learners
T Gao, A Fisch, D Chen
arXiv preprint arXiv:2012.15723, 2020
6302020
KEPLER: A unified model for knowledge embedding and pre-trained language representation
X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang
Transactions of the Association for Computational Linguistics 9, 176-194, 2021
3062021
Hybrid attention-based prototypical networks for noisy few-shot relation classification
T Gao, X Han, Z Liu, M Sun
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6407-6414, 2019
2452019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
T Gao, X Han, H Zhu, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
1602019
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
X Han, T Gao, Y Yao, D Ye, Z Liu, M Sun
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
1132019
Learning from context or names? an empirical study on neural relation extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
arXiv preprint arXiv:2010.01923, 2020
1012020
More data, more relations, more context and more openness: A review and outlook for relation extraction
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou
arXiv preprint arXiv:2004.03186, 2020
822020
Few-shot relation extraction via bayesian meta-learning on relation graphs
M Qu, T Gao, LP Xhonneux, J Tang
International conference on machine learning, 7867-7876, 2020
702020
Neural snowball for few-shot relation learning
T Gao, X Han, R Xie, Z Liu, F Lin, L Lin, M Sun
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7772-7779, 2020
532020
Continual relation learning via episodic memory activation and reconsolidation
X Han, Y Dai, T Gao, Y Lin, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
442020
Should you mask 15% in masked language modeling?
A Wettig, T Gao, Z Zhong, D Chen
arXiv preprint arXiv:2202.08005, 2022
342022
Meta-information guided meta-learning for few-shot relation classification
B Dong, Y Yao, R Xie, T Gao, X Han, Z Liu, F Lin, L Lin, M Sun
Proceedings of the 28th international conference on computational …, 2020
182020
Manual evaluation matters: reviewing test protocols of distantly supervised relation extraction
T Gao, X Han, K Qiu, Y Bai, Z Xie, Y Lin, Z Liu, P Li, M Sun, J Zhou
arXiv preprint arXiv:2105.09543, 2021
112021
Ditch the gold standard: Re-evaluating conversational question answering
H Li, T Gao, M Goenka, D Chen
arXiv preprint arXiv:2112.08812, 2021
52021
Recovering private text in federated learning of language models
S Gupta, Y Huang, Z Zhong, T Gao, K Li, D Chen
arXiv preprint arXiv:2205.08514, 2022
22022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
Z Yu, T Gao, Z Zhang, Y Lin, Z Liu, M Sun, J Zhou
arXiv preprint arXiv:2209.09401, 2022
2022
Bayesian optimization for monitoring the dynamic environment
T Gao
Rutgers University-School of Graduate Studies, 2020
2020
Bayesian Optimization for Monitoring a Time-Varying Environment
T Gao
Rutgers The State University of New Jersey, School of Graduate Studies, 2020
2020
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Articles 1–19