StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. - Xuekai Zhu; Jian Guan 002; Minlie Huang; Juan Liu (ACL (1), 2023)

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. - Kaiyan Zhang; Ning Ding 002; Biqing Qi; Xuekai Zhu; Xinwei Long; Bowen Zhou 002 (EMNLP, 2023)

PaD: Program-aided Distillation Specializes Large Models in Reasoning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xingwei Long; Bowen Zhou 002 (CoRR, 2023)

FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. - Xuekai Zhu; Juan Liu 007; Jian Zhang; Zhihui Yang; Feng Yang; Xiaolei Zhang (Big Data Min. Anal., 2023)

FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. - Zhihui Yang; Juan Liu 007; Xuekai Zhu; Feng Yang; Qiang Zhang 031; Hayat Ali Shah (Frontiers Comput. Sci., 2023)

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xinwei Long; Zhouhan Lin; Bowen Zhou 002 (NAACL-HLT, 2024)

UltraMedical: Building Specialized Generalists in Biomedicine. - Kaiyan Zhang; Sihang Zeng; Ermo Hua; Ning Ding 002; Zhang-Ren Chen; Zhiyuan Ma 005; Haoxin Li; Ganqu Cui; Biqing Qi; Xuekai Zhu; Xingtai Lv; Jinfang Hu; et al. (NeurIPS, 2024)

Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. - Zhihui Yang; Juan Liu 007; Feng Yang; Xiaolei Zhang; Qiang Zhang 031; Xuekai Zhu; Peng Jiang (Comput. Biol. Chem., 2024)

Critical Data Size of Language Models from a Grokking Perspective. - Xuekai Zhu; Yao Fu; Bowen Zhou 002; Zhouhan Lin (CoRR, 2024)

How to Synthesize Text Data without Model Collapse? - Xuekai Zhu; Daixuan Cheng; Hengli Li; Kaiyan Zhang; Ermo Hua; Xingtai Lv; Ning Ding 002; Zhouhan Lin; Zilong Zheng; Bowen Zhou 002 (CoRR, 2024)

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization. - Ermo Hua; Che Jiang; Xingtai Lv; Kaiyan Zhang; Ning Ding 002; Youbang Sun; Biqing Qi; Yuchen Fan; Xuekai Zhu; Bowen Zhou 002 (CoRR, 2024)

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. - Kaiyan Zhang; Jiayuan Zhang 001; Haoxin Li; Xuekai Zhu; Ermo Hua; Xingtai Lv; Ning Ding 002; Biqing Qi; Bowen Zhou 002 (ICLR, 2025)

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding. - Yuxin Zuo; Shang Qu; Yifei Li; Zhangren Chen; Xuekai Zhu; Ermo Hua; Kaiyan Zhang; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models. - Xingtai Lv; Youbang Sun; Kaiyan Zhang; Shang Qu; Xuekai Zhu; Yuchen Fan; Yi Wu; Ermo Hua; Xinwei Long; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

TTRL: Test-Time Reinforcement Learning. - Yuxin Zuo; Kaiyan Zhang; Shang Qu; Li Sheng; Xuekai Zhu; Biqing Qi; Youbang Sun; Ganqu Cui; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space. - Hengli Li; Chenxi Li; Tong Wu; Xuekai Zhu; Yuxuan Wang; Zhaoxin Yu; Eric Hanchen Jiang; Song-Chun Zhu; Zixia Jia; Ying Nian Wu; Zilong Zheng (CoRR, 2025)

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving. - Zhenjie Yang; Yilin Chai; Xiaosong Jia; Qifeng Li; Yuqian Shao; Xuekai Zhu; Haisheng Su; Junchi Yan (CoRR, 2025)

Reasoning with Exploration: An Entropy Perspective. - Daixuan Cheng; Shaohan Huang; Xuekai Zhu; Bo Dai 026; Wayne Xin Zhao; Zhenliang Zhang; Furu Wei (CoRR, 2025)