Yongrui Chen

Orcid: 0000-0001-8934-3920

Affiliations:
  • Southeast University, School of Computer Science and Engineering, Nanjing, China


According to our database1, Yongrui Chen authored at least 25 papers between 2018 and 2024.

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Bibliography

2024
HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.
CoRR, 2024

MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation.
CoRR, 2024

DEE: Dual-stage Explainable Evaluation Method for Text Generation.
CoRR, 2024

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing.
CoRR, 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.
CoRR, 2024

2023
CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs.
Expert Syst. Appl., November, 2023

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., August, 2023

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs.
Big Data Res., May, 2023

TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design.
CoRR, 2023

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions.
CoRR, 2023

Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family.
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.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction.
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.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning.
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.
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.
CoRR, 2021

Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator.
CoRR, 2021

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DAM: Transformer-based relation detection for Question Answering over Knowledge Base.
Knowl. Based Syst., 2020

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base.
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.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018


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