| 2026 | ACL | A Multilingual Dataset and Empirical Validation for the Mutual Reinforcement Effect in Information Extraction. | Chengguang Gan, Sunbowen Lee, Qingyu Yin, Yunhao Liang, Xinyang He, Hanjun Wei, Younghun Lim, Shijian Wang, Hexiang Huang, Qinghao Zhang, Shiwen Ni, Tatsunori Mori |
| 2025 | APWEB | Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System. | Lei Zheng, Ning Li, Chengguang Gan, Yong Yu, Weinan Zhang |
| 2025 | IJCNN | GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effects. | Chengguang Gan, Qinghao Zhang, Tatsunori Mori |
| 2025 | PACLIC | USA Model: Japanese Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset. | Chengguang Gan, Qinghao Zhang, Tatsunori Mori |
| 2024 | NLDB | Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-Level Classification. | Chengguang Gan, Qinghao Zhang, Tatsunori Mori |
| 2023 | NLDB | A Few-Shot Approach to Resume Information Extraction via Prompts. | Chengguang Gan, Tatsunori Mori |
| 2023 | NLDB | Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition. | Chengguang Gan, Qinghao Zhang, Tatsunori Mori |
| 2023 | PACLIC | Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks. | Chengguang Gan, Tatsunori Mori |