Dong, Qingxiu

A Survey on In-context Learning

Dong, Q., Li, L., Dai, D., Zheng, C., Ma, J., Li, R., Xia, H., Xu, J., Wu, Z., Chang, B., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 649

A Survey on In-context Learning

Dong, Q., Li, L., Dai, D., Zheng, C., Ma, J., Li, R., Xia, H., Xu, J., Wu, Z., Liu, T., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 248

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Zhu, W., Liu, H., Dong, Q., Xu, J., Huang, S., Kong, L., Chen, J., & Li, L. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 195

Can We Edit Factual Knowledge by In-Context Learning?

Zheng, C., Li, L., Dong, Q., Fan, Y., Wu, Z., Xu, J., & Chang, B. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 54

Can We Edit Factual Knowledge by In-Context Learning?

Zheng, C., Li, L., Dong, Q., Fan, Y., Wu, Z., Xu, J., & Chang, B. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 54

Calibrating Factual Knowledge in Pretrained Language Models

Dong, Q., Dai, D., Song, Y., Xu, J., Sui, Z., & Li, L. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingMultimodal Machine Learning Applications

Cited by 39

Self-Boosting Large Language Models with Synthetic Preference Data

Dong, Q., Dong, L., Zhang, X., Sui, Z., & Wei, F. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1