Sung, Yun-Hsuan

Universal Sentence Encoder

Cer, D., Yang, Y., Kong, S.-Y., Hua, N., Limtiaco, N., John, R. S., Constant, N., Guajardo-Cespedes, M., Yuan, S., Tar, C., et al. (2018) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,267

LongT5: Efficient Text-To-Text Transformer for Long Sequences

Guo, M., Ainslie, J., Uthus, D., Ontanon, S., Ni, J., Sung, Y.-H., & Yang, Y. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 230

LongT5: Efficient Text-To-Text Transformer for Long Sequences

Guo, M., Ainslie, J., Uthus, D., Ontanon, S., Ni, J., Sung, Y.-H., & Yang, Y. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Topic ModelingNatural Language Processing Techniques

Cited by 230

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 73

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7