| Continual Learning for Large Language Models: A Survey T Wu, L Luo, YF Li, S Pan, TT Vu, G Haffari arXiv preprint arXiv:2402.01364, 2024 | 103 | 2024 |
| Pretrained Language Model in Continual Learning: A Comparative Study T Wu, M Caccia, Z Li, YF Li, G Qi, G Haffari ICLR, 2022 | 89 | 2022 |
| Curriculum-Meta Learning for Order-Robust Continual Relation Extraction T Wu, X Li, YF Li, R Haffari, G Qi, Y Zhu, G Xu AAAI, 2021 | 76 | 2021 |
| Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection S Shen, T Wu, G Qi, YF Li, G Haffari, S Bi ACL Findings, 2021 | 45 | 2021 |
| Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning Y Hua, YF Li, G Haffari, G Qi, T Wu EMNLP, 2020 | 40 | 2020 |
| Event Causality Identification via Derivative Prompt Joint Learning S Shen, H Zhou, T Wu, G Qi COLING, 2022 | 34 | 2022 |
| Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs N Hu, J Chen, Y Wu, G Qi, S Bi, T Wu, JZ Pan arXiv preprint arXiv:2401.14640, 2024 | 16 | 2024 |
| Continual Multimodal Knowledge Graph Construction X Chen, J Zhang, X Wang, T Wu, S Deng, Y Wang, L Si, H Chen, N Zhang IJCAI, 2024 | 14 | 2024 |
| Towards Relation Extraction From Speech T Wu, G Wang, J Zhao, Z Liu, G Qi, YF Li, G Haffari EMNLP, 2022 | 12 | 2022 |
| KC-GEE: Knowledge-based Conditioning for Generative Event Extraction T Wu, F Shiri, J Kang, G Qi, G Haffari, YF Li World Wide Web Journal, 2023 | 10 | 2023 |
| Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Z Li, L Qu, Q Xu, T Wu, T Zhan, G Haffari EMNLP, 2022 | 8 | 2022 |
| NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery F Moghimifar, S Qu, T Wu, YF Li, G Haffari ACL Findings, 2023 | 6 | 2023 |
| Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams Y Chen, X Guo, T Wu, G Qi, Y Li, Y Dong AAAI, 2023 | 6 | 2023 |
| Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought X Dai, Y Hua, T Wu, Y Sheng, G Qi Knowledge-based Systems, 2025 | 4 | 2025 |
| VersiCode: Towards Version-controllable Code Generation T Wu, W Wu, X Wang, K Xu, S Ma, B Jiang, P Yang, Z Xing, YF Li, ... arXiv preprint arXiv:2406.07411, 2024 | 4 | 2024 |
| A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding M Wang, T Wu, G Qi ECAI, 2020 | 3 | 2020 |
| Towards LifeSpan Cognitive Systems Y Wang, C Han, T Wu, X He, W Zhou, N Sadeq, X Chen, Z He, W Wang, ... Transactions on Machine Learning Research, 2025 | 2 | 2025 |
| Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning T He, T Wu, D Zhang, G Duan, K Qin, YF Li arXiv preprint arXiv:2401.14626, 2024 | 2 | 2024 |
| Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension T Wu, M Wang, H Gao, G Qi, W Li PRICAI, 123-136, 2019 | 1 | 2019 |
| Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs Y Li, Y Huang, G Qi, J Feng, N Hu, S Zhai, H Xue, Y Chen, R Shen, T Wu arXiv preprint arXiv:2501.15791, 2025 | | 2025 |
Guilin QiSoutheast Universityseu.edu.cn의 이메일 확인됨