Rihui Jin

According to our database, Rihui Jin authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models.

Miaozeng Du, Jiaqi Li, Sirui Pan, Yi Zhan, Guilin Qi, Yuxin Zhang, Rihui Jin, Yinjia Shu, Qianshan Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding.

Xinbang Dai, Huikang Hu, Yongrui Chen, Jiaqi Li, Rihui Jin, Yuyang Zhang, Xiaoguang Li, Lifeng Shang, Guilin Qi

CoRR, October, 2025

Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning.

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, August, 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

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

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

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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

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

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