Liu, Pengfei

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

GSum: A General Framework for Guided Neural Abstractive Summarization

Dou, Z.-Y., Liu, P., Hayashi, H., Jiang, Z., & Neubig, G. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingAdvanced Text Analysis Techniques

Cited by 210

PAL: Program-aided Language Models

Gao, L., Madaan, A., Zhou, S., Alon, U., Liu, P., Yang, Y., Callan, J., & Neubig, G. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 155

SpanNER: Named Entity Re-/Recognition as Span Prediction

Fu, J., Huang, X., & Liu, P. (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)

Topic ModelingNatural Language Processing Techniques

Cited by 112

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

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate

Chern, S., Chern, E., Neubig, G., & Liu, P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning

Jain, S., Keshava, V., Mysore Sathyendra, S., Fernandes, P., Liu, P., Neubig, G., & Zhou, C. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 15

Benchmarking Benchmark Leakage in Large Language Models

Xu, R., Wang, Z., Fan, R.-Z., & Liu, P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6