Qizhi Pei

According to our database, Qizhi Pei authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once.

Zhuoshi Pan, Qizhi Pei, Yu Li, Qiyao Sun, Zinan Tang, H. Vicky Zhao, Conghui He, Lijun Wu

CoRR, July, 2025

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment.

Chenlin Ming, Chendi Qu, Mengzhang Cai, Qizhi Pei, Zhuoshi Pan, Yu Li, Xiaoming Duan, Lijun Wu, Conghui He

CoRR, May, 2025

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges.

Yu Li, Qizhi Pei, Mengyuan Sun, Honglin Lin, Chenlin Ming, Xin Gao, Jiang Wu, Conghui He, Lijun Wu

CoRR, April, 2025

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis.

Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He

CoRR, April, 2025

MathFusion: Enhancing Mathematic 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

CoRR, March, 2025

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.

Honglin Lin, Zhuoshi Pan, Yu Li, Qizhi Pei, Xin Gao, Mengzhang Cai, Conghui He, Lijun Wu

CoRR, March, 2025

NatureLM: Deciphering the Language of Nature for Scientific Discovery.

Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin

CoRR, February, 2025

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.

Kaiyuan Gao, Qizhi Pei, Gongbo Zhang, Jinhua Zhu, Kun He, Lijun Wu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling.

Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MathFusion: 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LEMMA: 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CipherBank: 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates.

Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu

CoRR, 2024

3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan

CoRR, 2024

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.

Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu

CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan

CoRR, 2024

Exploiting 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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

BioT5+: 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Breaking the barriers of data scarcity in drug-target affinity prediction.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan

Briefings Bioinform., September, 2023

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models.

Kaiyuan Gao, Sunan He, Zhenyu He, Jiacheng Lin, Qizhi Pei, Jie Shao, Wei Zhang

CoRR, 2023

FABind: Fast and Accurate Protein-Ligand Binding.

Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BioT5: 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu

CoRR, 2022