Formal query building with query structure prediction for complex question answering over knowledge base Y Chen, H Li, Y Hua, G Qi Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 80 | 2020 |
Evaluation of ChatGPT as a question answering system for answering complex questions Y Tan, D Min, Y Li, W Li, N Hu, Y Chen, G Qi arXiv preprint arXiv:2303.07992, 2023 | 58 | 2023 |
Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family Y Tan, D Min, Y Li, W Li, N Hu, Y Chen, G Qi International Semantic Web Conference, 348-367, 2023 | 49 | 2023 |
DAM: Transformer-based relation detection for Question Answering over Knowledge Base Y Chen, H Li Knowledge-Based Systems 201, 106077, 2020 | 28 | 2020 |
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs Y Chen, H Li, G Qi, T Wu, T Wang IEEE Transactions on Knowledge and Data Engineering, TKDE 35 (Aug. 2023 …, 2022 | 27 | 2022 |
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing Y Chen, S Zhang, G Qi, X Guo NeurIPS 2023, 2023 | 14 | 2023 |
Exploring the impact of table-to-text methods on augmenting llm-based question answering with domain hybrid data D Min, N Hu, R Jin, N Lin, J Chen, Y Chen, Y Li, G Qi, Y Li, N Li, Q Wang arXiv preprint arXiv:2402.12869, 2024 | 8 | 2024 |
Leveraging table content for zero-shot text-to-sql with meta-learning Y Chen, X Guo, C Wang, J Qiu, G Qi, M Wang, H Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3992-4000, 2021 | 8 | 2021 |
Tegit: Generating high-quality instruction-tuning data with text-grounded task design Y Chen, H Jiang, X Huang, S Shi, G Qi arXiv preprint arXiv:2309.05447, 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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12682 …, 2023 | 5 | 2023 |
MLPQ: A dataset for path question answering over multilingual knowledge graphs Y Tan, Y Chen, G Qi, W Li, M Wang Big Data Research 32, 100381, 2023 | 5 | 2023 |
Convolutional neural network-based question answering over knowledge base with type constraint Y Chen, H Li, Z Xu Knowledge Graph and Semantic Computing. Knowledge Computing and Language …, 2019 | 5 | 2019 |
Incorporating domain knowledge graph into multimodal movie genre classification with self-supervised attention and contrastive learning J Li, G Qi, C Zhang, Y Chen, Y Tan, C Xia, Y Tian Proceedings of the 31st ACM International Conference on Multimedia, 3337-3345, 2023 | 4 | 2023 |
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity. X Guo, Y Chen, G Qi, T Wu, H Xu IJCAI, 4150-4156, 2022 | 4 | 2022 |
CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs Y Tan, X Zhang, Y Chen, Z Ali, Y Hua, G Qi Expert Systems with Applications 231, 120721, 2023 | 3 | 2023 |
MATEval: A Multi-agent Discussion Framework for Advancing Open-Ended Text Evaluation Y Li, S Zhang, R Wu, X Huang, Y Chen, W Xu, G Qi, D Min International Conference on Database Systems for Advanced Applications, 415-426, 2024 | 2 | 2024 |
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge Y Zhang, S Zhai, Y Meng, S Bi, Y Chen, G Qi Information Processing & Management 61 (4), 103729, 2024 | 2 | 2024 |
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models J Li, Q Wei, C Zhang, G Qi, M Du, Y Chen, S Bi arXiv preprint arXiv:2405.12523, 2024 | 2 | 2024 |
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing J Li, M Du, C Zhang, Y Chen, N Hu, G Qi, H Jiang, S Cheng, B Tian arXiv preprint arXiv:2402.14835, 2024 | 2 | 2024 |
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding R Jin, J Wang, W Tan, Y Chen, G Qi, W Hao Findings of the Association for Computational Linguistics: EMNLP 2023, 7373-7383, 2023 | 2 | 2023 |