Yuan, Weizhe

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023) · ACM Computing Surveys

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4,361

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4,352

BARTScore: Evaluating Generated Text as Text Generation

Yuan, W., Neubig, G., & Liu, P. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 353

Self-Taught Evaluators

Wang, T., Kulikov, I., Golovneva, O., Yu, P., Yuan, W., Dwivedi-Yu, J., Pang, R. Y., Fazel-Zarandi, M., Weston, J., & Li, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

Can We Automate Scientific Reviewing?

Yuan, W., Liu, P., & Neubig, G. (2022) · Journal of Artificial Intelligence Research

Topic ModelingAcademic Writing and Publishing

Cited by 96

ExplainaBoard: An Explainable Leaderboard for NLP

Liu, P., Fu, J., Xiao, Y., Yuan, W., Chang, S., Dai, J., Liu, Y., Ye, Z., & Neubig, G. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 35

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Chern, I.-C., Chern, S., Chen, S., Yuan, W., Feng, K., Zhou, C., He, J., Neubig, G., & Liu, P. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 29

Self-Rewarding Language Models

Yuan, W., Pang, R. Y., Cho, K., Li, X., Sukhbaatar, S., Xu, J., & Weston, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Bridging Offline and Online Reinforcement Learning for LLMs

Lanchantin, J., Chen, A., Lan, J., Li, X., Saha, S., Wang, T., Xu, J., Yu, P., Yuan, W., Weston, J. E., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0