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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
25832021
Making pre-trained language models better few-shot learners
T Gao, A Fisch, D Chen
arXiv preprint arXiv:2012.15723, 2020
15382020
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
6032021
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
3752019
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
2552019
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
1832020
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
1752019
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
1462020
Should you mask 15% in masked language modeling?
A Wettig, T Gao, Z Zhong, D Chen
arXiv preprint arXiv:2202.08005, 2022
1222022
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
1222020
Enabling large language models to generate text with citations
T Gao, H Yen, J Yu, D Chen
arXiv preprint arXiv:2305.14627, 2023
992023
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
832020
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
792020
Fine-tuning language models with just forward passes
S Malladi, T Gao, E Nichani, A Damian, JD Lee, D Chen, S Arora
Advances in Neural Information Processing Systems 36, 53038-53075, 2023
762023
Sheared llama: Accelerating language model pre-training via structured pruning
M Xia, T Gao, Z Zeng, D Chen
arXiv preprint arXiv:2310.06694, 2023
662023
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
J Pan
Princeton University, 2023
502023
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
J Pan, T Gao, H Chen, D Chen
Findings of the Association for Computational Linguistics: ACL 2023, 2023
502023
Recovering private text in federated learning of language models
S Gupta, Y Huang, Z Zhong, T Gao, K Li, D Chen
Advances in neural information processing systems 35, 8130-8143, 2022
472022
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
392020
Evaluating large language models at evaluating instruction following
Z Zeng, J Yu, T Gao, Y Meng, T Goyal, D Chen
arXiv preprint arXiv:2310.07641, 2023
372023
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