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Qizhi Pei

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

17

Venues

5

Active years

2023–2026

Best venue rank

A*

Where they publish

Papers

17 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLTracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs.Yu Li, Xiaoran Shang, Qizhi Pei, Yun Zhu, Xin Gao, Honglin Lin, Zhanping Zhong, Zhuoshi Pan, Zheng Liu, Xiaoyang Wang, Conghui He, Dahua Lin, Feng Zhao, Lijun Wu
2026ACLChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.Zheng Liu, Honglin Lin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Conghui He, Bin Cui, Wentao Zhang, Lijun Wu
2026ACLREST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once.Zhuoshi Pan, Qizhi Pei, Yu Li, Zinan Tang, Qiyao Sun, H. Vicky Zhao, Conghui He, Lijun Wu
2026ACLR³: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning.YiFei Wang, Qizhi Pei, Jiangtao Feng, Yuntian Shi, Yi Duan, Lihao Wang, Lei Bai, Lijun Wu, Wei-Ying Ma, Hao Zhou
2026ACLData Pollination: An Emergent Ecological Process Driving AI Population Evolution.Shufang Xie, Qizhi Pei, Ang Lv, Jingyang Hu, Lijun Wu, Rui Yan
2026KDDTokenizing 3D Molecule Structure with Quantized Spherical Coordinates.Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu
2025ACLCipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge.Yu Li, Qizhi Pei, Mengyuan Sun, Honglin Lin, Chenlin Ming, Xin Gao, Jiang Wu, Conghui He, Lijun Wu
2025ACLA Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis.Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He
2025ACLLEMMA: Learning from Errors for MatheMatical Advancement in LLMs.Zhuoshi Pan, Yu Li, Honglin Lin, Qizhi Pei, Zinan Tang, Wei Wu, Chenlin Ming, H. Vicky Zhao, Conghui He, Lijun Wu
2025ACLMathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion.Qizhi Pei, Lijun Wu, Zhuoshi Pan, Yu Li, Honglin Lin, Chenlin Ming, Xin Gao, Conghui He, Rui Yan
2025EMNLPMetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.Honglin Lin, Zhuoshi Pan, Qizhi Pei, Xin Gao, Yu Li, Mengzhang Cai, Conghui He, Lijun Wu
2025EMNLPMiddo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning.Zinan Tang, Xin Gao, Qizhi Pei, Zhuoshi Pan, Mengzhang Cai, Jiang Wu, Conghui He, Lijun Wu
2025ICLR3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling.Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu
2025KDDFABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.Kaiyuan Gao, Qizhi Pei, Gongbo Zhang, Jinhua Zhu, Kun He, Lijun Wu
2024ACLBioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan
2024CIKMExploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
2023EMNLPBioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan