TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. - Rihui Jin; Jianan Wang; Wei Tan; Yongrui Chen 002; Guilin Qi; Wang Hao (EMNLP (Findings), 2023)

Attributed Triple Extraction by Combination Under Contrastive Learning. - Runzhe Wang; Gaofeng Xu; Guilin Qi; Yun Li; Yongrui Chen 002; Songlin Zhai; Yuxin Zhang; Rihui Jin; Nijun Li; Qianren Wang (DASFAA (7), 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 001; Yongrui Chen 002; Yu Li 021; Guilin Qi; Yun Li; Nijun Li; Qianren Wang (NAACL (Industry Track), 2024)

HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. - Rihui Jin; Yu Li 021; Guilin Qi; Nan Hu; Yuan-Fang Li; Jiaoyan Chen 001; Jianan Wang; Yongrui Chen 002; Dehai Min (CoRR, 2024)

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. - Rihui Jin; Yu Li 021; Guilin Qi; Nan Hu; Yuan-Fang Li; Jiaoyan Chen 001; Jianan Wang; Yongrui Chen 002; Dehai Min; Sheng Bi (AAAI, 2025)

Question answering over spatio-temporal knowledge graph. - Xinbang Dai; Huiying Li 003; Nan Hu; Yongrui Chen 002; Rihui Jin; Huikang Hu; Guilin Qi (Knowl. Based Syst., 2025)

Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured Knowledge. - Yongrui Chen 002; Junhao He; Linbo Fu; Shenyu Zhang; Rihui Jin; Xinbang Dai; Jiaqi Li; Dehai Min; Nan Hu; Yuxin Zhang; Guilin Qi; Yi Huang; et al. (CoRR, 2025)

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG. - Xinbang Dai; Huikang Hu; Yuncheng Hua; Jiaqi Li; Yongrui Chen 002; Rihui Jin; Nan Hu; Guilin Qi (CoRR, 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 002; Xinbang Dai; Tongtong Wu; Gholamreza Haffari (CoRR, 2025)