Jiajun Wu

Research output

Publications

Peer-reviewed papers, preprints, models, datasets, and project resources.

14 publications

2026

9
LoopCoder recurrent language model mechanism with shared weights
Looped model

LoopCoder: Scaling Code Intelligence via Looped Language Models

Jian Yang, Wei Zhang, Shuyue Guo, Yizhi Li, Linzheng Chai, Zhengmao Ye, Shukai Liu, Yuyang Song, Jiajun Wu, Che Liu, Tianyu Zheng, Siwei Wu, Leo L, Xudong Ma, Chuan Hao, Ran Tao, Yan Xing, Jianzhou Wang, Mingjie Tang, Aishan Liu, Zhoujun Li, Xianglong Liu, Weifeng Lv, Bryan Dai

Findings of the Association for Computational Linguistics: ACL 2026

A large-scale looped transformer recipe that folds dense checkpoints into recurrent code models and scales iterative computation through pre-training and post-training.

Paper PDF BibTeX
LoopCoder-v2 parallel loop selection and per-loop analysis
Open model

LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling

Jian Yang, Shawn Guo, Wei Zhang, Tianyu Zheng, Yaxin Du, Haau-Sing Li, Jiajun Wu, Yue Song, Yan Xing, Qingsong Cai, Zelong Huang, Chuan Hao, Ran Tao, Xianglong Liu, Wayne Xin Zhao, Mingjie Tang, Weifeng Lv, Ming Zhou, Bryan Dai

arXiv 2026

A 7B parallel loop transformer study showing that a second loop gives the main refinement gain while additional loops add offset cost and diminishing returns.

Paper PDF Code Model BibTeX
InCoder-32B-Thinking overview across industrial and general code domains
Model release

InCoder-32B-Thinking: Industrial Code World Model for Thinking

Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Tuney Zheng, Fanglin Xu, Weicheng Gu, Lin Jing, Yaxin Du, Joseph Li, Yizhi Li, Yan Xing, Chuan Hao, Ran Tao, Ruihao Gong, Aishan Liu, Zhoujun Li, Mingjie Tang, Chenghua Lin, Siheng Chen, Wayne Xin Zhao#, Xianglong Liu#, Ming Zhou#, Bryan Dai, Weifeng Lv (# corresponding author)

arXiv 2026

A reasoning-oriented industrial code model trained with error-driven chains of thought and execution traces across chip design, GPU optimization, and embedded systems.

Preprint Code Model HF Daily Paper 机器之心 BibTeX
InCoder-32B capability map for general and industrial code intelligence
Open model

InCoder-32B: Code Foundation Model for Industrial Scenarios

Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Joseph Li, Fanglin Xu, Yizhi Li, Lin Jing, Yuanbo Wang, Yuhan Gao, Ruihao Gong, Chuan Hao, Ran Tao, Aishan Liu, Tuney Zheng, Ganqu Cui, Zhoujun Li, Mingjie Tang, Chenghua Lin, Wayne Xin Zhao#, Xianglong Liu#, Ming Zhou#, Bryan Dai, Weifeng Lv (# corresponding author)

arXiv 2026

A 32B-parameter foundation model unifying general coding with industrial domains including chip design, GPU kernels, embedded systems, compiler optimization, and 3D modeling.

Preprint Code Model HF Daily Paper 量子位 BibTeX
IQuest-Coder-V1 code-flow training pipeline
Technical report

IQuest-Coder-V1 Technical Report

Jian Yang, Wei Zhang, Shawn Guo, Zhengmao Ye, Lin Jing, Shark Liu, Yizhi Li, Jiajun Wu, Cening Liu, X. Ma, Yuyang Song, Siwei Wu, Yuwen Li, L. Liao, T. Zheng, Ziling Huang, Zelong Huang, Che Liu, Yan Xing, Renyuan Li, Qingsong Cai, Hanxu Yan, Siyue Wang, Shikai Li, Jason Klein Liu, An Huang, Yongsheng Kang, Jinxing Zhang, Chuan Hao, Haowen Wang, Weicheng Gu, Ran Tao, Mingjie Tang, Peihao Wu, Jianzhou Wang, Xianglong Liu, Weifeng Lv, Bryan Dai

arXiv 2026

A family of 7B, 14B, and 40B code models trained through code-flow pre-training, reasoning and agentic mid-training, and separate thinking and instruction paths.

Paper PDF Code Model BibTeX

2025

5