Gao, Tianyu

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Gao, T., Yao, X., & Chen, D. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 2,851

Making Pre-trained Language Models Better Few-shot Learners

Gao, T., Fisch, A., & Chen, D. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 1,380

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics

Advanced Graph Neural NetworksTopic Modeling

Cited by 676

Making Pre-trained Language Models Better Few-shot Learners

Gao, T., Fisch, A., & Chen, D. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 124

Continual Relation Learning via Episodic Memory Activation and Reconsolidation

Han, X., Dai, Y., Gao, T., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 104

Long-Context Language Modeling with Parallel Context Encoding

Yen, H., Gao, T., & Chen, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9