Yongrui Chen

According to our database, Yongrui Chen authored at least 45 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

IGen: Redefining long-term event prediction with iterative generation and dynamic balancing.

Yuxin Zhang, Yan Wang, Songlin Zhai, Yongrui Chen, Shenyu Zhang, Yuan Meng, Zhihua Chai, Sheng Bi, Guilin Qi

Inf. Process. Manag., 2026

2025

OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases.

Yongrui Chen, Zhiqiang Liu, Jing Yu, Lin Ren, Nan Hu, Xinbang Dai, Jiajun Liu, Jiazhen Kang, Shenyu Zhang, Xinda Wang, Keyan Ding, Pengfei Shen, Haolei Zhu, Hongjie Deng, Yisong Wang, Tongtong Wu, Sheng Bi, Wen Zhang, Tianxing Wu, Qiu Ji, Haofen Wang, Wenliang Chen, Huajun Chen, Guilin Qi

CoRR, June, 2025

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models.

Rihui Jin, Zheyu Xin, Xing Xie, Zuoyi Li, Guilin Qi, Yongrui Chen, Xinbang Dai, Tongtong Wu, Gholamreza Haffari

CoRR, June, 2025

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems.

Yuxin Zhang, Yan Wang, Yongrui Chen, Shenyu Zhang, Xinbang Dai, Sheng Bi, Guilin Qi

CoRR, June, 2025

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities.

Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang

CoRR, May, 2025

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG.

Xinbang Dai, Huikang Hu, Yuncheng Hua, Jiaqi Li, Yongrui Chen, Rihui Jin, Nan Hu, Guilin Qi

CoRR, May, 2025

Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured Knowledge.

Yongrui Chen, Junhao He, Linbo Fu, Shenyu Zhang, Rihui Jin, Xinbang Dai, Jiaqi Li, Dehai Min, Nan Hu, Yuxin Zhang, Guilin Qi, Yi Huang, Tongtong Wu

CoRR, April, 2025

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs.

Yu Li, Yi Huang, Guilin Qi, Junlan Feng, Nan Hu, Songlin Zhai, Haohan Xue, Yongrui Chen, Ruoyan Shen, Tongtong Wu

CoRR, January, 2025

Question answering over spatio-temporal knowledge graph.

Xinbang Dai, Huiying Li, Nan Hu, Yongrui Chen, Rihui Jin, Huikang Hu, Guilin Qi

Knowl. Based Syst., 2025

DST: Continual event prediction by decomposing and synergizing the task commonality and specificity.

Yuxin Zhang, Songlin Zhai, Yongrui Chen, Shenyu Zhang, Sheng Bi, Yuan Meng, Guilin Qi

Inf. Process. Manag., 2025

Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities.

Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models.

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Hui Zhang, Yongrui Chen, Qianshan Wei, Junfeng Fang, Ruipeng Wang, Sheng Bi, Guilin Qi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs.

Nan Hu, Jiaoyan Chen, Yike Wu, Guilin Qi, Hongru Wang, Sheng Bi, Yongrui Chen, Tongtong Wu, Jeff Z. Pan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.

Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge.

Yuxin Zhang, Songlin Zhai, Yuan Meng, Sheng Bi, Yongrui Chen, Guilin Qi

Inf. Process. Manag., 2024

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models.

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi

CoRR, 2024

HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.

Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min

CoRR, 2024

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models.

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi, Fan Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.

Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping.

Yongrui Chen, Haiyun Jiang, Xinting Huang, Shuming Shi, Guilin Qi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

DEE: Dual-Stage Explainable Evaluation Method for Text Generation.

Shenyu Zhang, Yu Li, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi

Proceedings of the Database Systems for Advanced Applications, 2024

Attributed Triple Extraction by Combination Under Contrastive Learning.

Runzhe Wang, Gaofeng Xu, Guilin Qi, Yun Li, Yongrui Chen, Songlin Zhai, Yuxin Zhang, Rihui Jin, Nijun Li, Qianren Wang

Proceedings of the Database Systems for Advanced Applications, 2024

MATEval: A Multi-agent Discussion Framework for Advancing Open-Ended Text Evaluation.

Yu Li, Shenyu Zhang, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi, Dehai Min

Proceedings of the Database Systems for Advanced Applications, 2024

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing.

Jiaqi Li, Miaozeng Du, Chuanyi Zhang, Yongrui Chen, Nan Hu, Guilin Qi, Haiyun Jiang, Siyuan Cheng, Bozhong Tian

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues.

Xinnan Guo, Qian Zhu, Qiuhui Shi, Xuan Lin, Liubin Wang, DaqianLi DaqianLi, Yongrui Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs.

Yiming Tan, Xinyu Zhang, Yongrui Chen, Zafar Ali, Yuncheng Hua, Guilin Qi

Expert Syst. Appl., November, 2023

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs.

Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang

IEEE Trans. Knowl. Data Eng., August, 2023

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs.

Yiming Tan, Yongrui Chen, Guilin Qi, Weizhuo Li, Meng Wang

Big Data Res., May, 2023

TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design.

Yongrui Chen, Haiyun Jiang, Xinting Huang, Shuming Shi, Guilin Qi

CoRR, 2023

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions.

Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, Guilin Qi

CoRR, 2023

Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family.

Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, Guilin Qi

Proceedings of the Semantic Web - ISWC 2023, 2023

Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing.

Yongrui Chen, Shenyu Zhang, Guilin Qi, Xinnan Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning.

Jiaqi Li, Guilin Qi, Chuanyi Zhang, Yongrui Chen, Yiming Tan, Chenlong Xia, Ye Tian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction.

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Dehai Min, Yongrui Chen, Guilin Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding.

Rihui Jin, Jianan Wang, Wei Tan, Yongrui Chen, Guilin Qi, Wang Hao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction.

Xinnan Guo, Wentao Deng, Yongrui Chen, Yang Li, Mengdi Zhou, Guilin Qi, Tianxing Wu, Dong Yang, Liubin Wang, Yong Pan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams.

Yongrui Chen, Xinnan Guo, Tongtong Wu, Guilin Qi, Yang Li, Yang Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning.

Tinghao Zhang, Zhijun Li, Yongrui Chen, Kwok-Yan Lam, Jun Zhao

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity.

Xinnan Guo, Yongrui Chen, Guilin Qi, Tianxing Wu, Hao Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph.

Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang

CoRR, 2021

Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator.

Zhiqiang Cao, Zhijun Li, Pan Heng, Yongrui Chen, Daqi Xie, Jie Liu

CoRR, 2021

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning.

Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DAM: Transformer-based relation detection for Question Answering over Knowledge Base.

Yongrui Chen, Huiying Li

Knowl. Based Syst., 2020

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base.

Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Convolutional Neural Network-Based Question Answering Over Knowledge Base with Type Constraint.

Yongrui Chen, Huiying Li, Zejian Xu

Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018