| Gpt-re: In-context learning for relation extraction using large language models Z Wan, F Cheng, Z Mao, Q Liu, H Song, J Li, S Kurohashi EMNLP 2023, 2023 | 74 | 2023 |
| Pushing the limits of chatgpt on nlp tasks X Sun, L Dong, X Li, Z Wan, S Wang, T Zhang, J Li, F Cheng, L Lyu, F Wu, ... arXiv preprint arXiv:2306.09719, 2023 | 19 | 2023 |
| Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise Z Wan, Y Zhang, Y Wang, F Cheng, S Kurohashi arXiv preprint arXiv:2310.03328, 2023 | 6 | 2023 |
| Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems Y Shen, Q Liu, Z Mao, Z Wan, F Cheng, S Kurohashi AACL 2022, 2022 | 6 | 2022 |
| Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision Z Wan, F Cheng, Q Liu, Z Mao, H Song, S Kurohashi EACL 2023, 2022 | 5 | 2022 |
| When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? Z Mao, C Chu, R Dabre, H Song, Z Wan, S Kurohashi NAACL 2022, 2022 | 5 | 2022 |
| Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction Z Wan, Q Liu, Z Mao, F Cheng, S Kurohashi, J Li EMNLP 2022, 2022 | 4 | 2022 |
| Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese Y Sun, Z Wan, N Ueda, S Yahata, F Cheng, C Chu, S Kurohashi LREC-Coling 2024, 2024 | 2 | 2024 |
| Evaluating Saliency Explanations in NLP by Crowdsourcing X Lu, J Li, Z Wan, X Lin, K Takeuchi, H Kashima arXiv preprint arXiv:2405.10767, 2024 | | 2024 |
Fei ChengKyoto University在 i.kyoto-u.ac.jp 的电子邮件经过验证
