| Huatuogpt-ii, one-stage training for medical adaption of llms J Chen, X Wang, K Ji, A Gao, F Jiang, S Chen, H Zhang, S Dingjie, W Xie, ... Conference on Language Modeling 2024, 2023 | 14 | 2023 |
| Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification K Ji, Y Lian, J Gao, B Wang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 11 | 2023 |
| Towards Continual Knowledge Graph Embedding via Incremental Distillation J Liu, W Ke, P Wang, Z Shang, J Gao, G Li, K Ji, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8759-8768, 2024 | 6 | 2024 |
| OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning Z Shang, W Ke, N Xiu, P Wang, J Liu, Y Li, Z Luo, K Ji Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18934 …, 2024 | 5 | 2024 |
| Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction G Li, W Ke, P Wang, Z Xu, K Ji, J Liu, Z Shang, Q Luo The 2024 Joint International Conference on Computational Linguistics …, 2024 | 4 | 2024 |
| fmLRE: a low-resource relation extraction model based on feature mapping similarity calculation P Wang, T Shao, K Ji, G Li, W Ke Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13700 …, 2023 | 2 | 2023 |
| Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction G Li, P Wang, W Ke, Y Guo, K Ji, Z Shang, J Liu, Z Xu Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | 1 | 2024 |
| Fast and Continual Knowledge Graph Embedding via Incremental LoRA J Liu, W Ke, P Wang, J Wang, J Gao, Z Shang, G Li, Z Xu, K Ji, Y Li arXiv preprint arXiv:2407.05705, 2024 | | 2024 |
| HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale J Chen, R Ouyang, A Gao, S Chen, GH Chen, X Wang, R Zhang, Z Cai, ... arXiv preprint arXiv:2406.19280, 2024 | | 2024 |
| LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them W Xie, Q Xiao, Y Zheng, X Wang, J Chen, K Ji, A Gao, X Wan, F Jiang, ... arXiv preprint arXiv:2406.18034, 2024 | | 2024 |
| LLMs Could Autonomously Learn Without External Supervision K Ji, J Chen, A Gao, W Xie, X Wan, B Wang arXiv preprint arXiv:2406.00606, 2024 | | 2024 |
| Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification K Ji, P Wang, W Ke, G Li, J Liu, J Gao, Z Shang Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | | 2024 |
| Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors G Li, P Wang, J Liu, Y Guo, K Ji, Z Shang, Z Xu Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | | 2024 |
| Empirical Analysis of Dialogue Relation Extraction with Large Language Models G Li, Z Xu, Z Shang, J Liu, K Ji, Y Guo Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | | 2024 |
| LAMM: Label Alignment for Multi-Modal Prompt Learning J Gao, J Ruan, S Xiang, Z Yu, K Ji, M Xie, T Liu, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | | 2023 |
