Wang, Qifan

Big Bird: Transformers for Longer Sequences

Zaheer, M., Guruganesh, G., Dubey, A., Ainslie, J., Alberti, C., Ontanon, S., Pham, P., Ravula, A., Wang, Q., Yang, L., et al. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,349

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Han, C., Wang, Q., Peng, H., Xiong, W., Chen, Y., Ji, H., & Wang, S. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 22

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems

Shi, T., Li, L., Lin, Z., Yang, T., Quan, X., & Wang, Q. (2023) · arXiv

Speech and dialogue systemsInformation Retrieval and Search Behavior

Cited by 12

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Han, C., Wang, Q., Peng, H., Xiong, W., Chen, Y., Ji, H., & Wang, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Fusion or defusion? Flexible vision-and-language pre-training

Sun, R., Li, Z., Ding, Y., Wang, Q., Wang, J., Zheng, H., Wu, W., & Xian, Y. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2