| 2026 | ACL | Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation. | Xinping Zhao, Shouzheng Huang, Yan Zhong, Xinshuo Hu, Meishan Zhang, Baotian Hu, Min Zhang |
| 2025 | NAACL | FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. | Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang |
| 2024 | EMNLP | Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. | Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang |
| 2024 | EMNLP | SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. | Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang |
| 2024 | EMNLP | Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. | Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang |
| 2024 | ICWS | Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. | Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu |
| 2023 | WWW | Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching. | Xinping Zhao, Ying Zhang, Qiang Xiao, Yuming Ren, Yingchun Yang |
| 2022 | IJCNN | SGLCMR: Self-supervised Graph Learning of Generalized Representations for Cross-Market Recommendation. | Xinping Zhao, Yingchun Yang |