Hayashi, Hiroaki

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

LLMs Get Lost In Multi-Turn Conversation

Laban, P., Hayashi, H., Zhou, Y., & Neville, J. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 419

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

Latent Relation Language Models

Hayashi, H., Hu, Z., Xiong, C., & Neubig, G. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 44