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Yongrui Chen(陈永锐)
Yongrui Chen(陈永锐)
在 seu.edu.cn 的电子邮件经过验证 - 首页
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引用次数
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年份
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
802020
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
582023
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
492023
DAM: Transformer-based relation detection for Question Answering over Knowledge Base
Y Chen, H Li
Knowledge-Based Systems 201, 106077, 2020
282020
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
272022
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
142023
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
82024
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
82021
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
62023
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
52023
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
52023
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
52019
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
42023
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
42022
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
32023
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
22024
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
22024
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
22024
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
22024
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
22023
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