2026

InCoder-32B: Code Foundation Model for Industrial Scenarios
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

[Preprint] [Code] [Model] [Website]

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

[Preprint] [Code] [Model] [Website]

CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language

Junhang Cheng, Fang Liu#, Jia Li, Chengru Wu, Nanxiang Jiang, Li Zhang (# corresponding author)

Arxiv 2026

[Preprint] [Code]

CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language

Junhang Cheng, Fang Liu#, Jia Li, Chengru Wu, Nanxiang Jiang, Li Zhang (# corresponding author)

Arxiv 2026

[Preprint] [Code]

2025

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process
Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process

Zhijun Chen*, Zeyu Ji*, Qianren Mao, Hao Wu, Junhang Cheng, Bangjie Qin, Zhuoran Li, Jingzheng Li, Kai Sun, Zizhe Wang, Yikun Ban, Zhu Sun, Xiangyang Ji, Hailong Sun# (* equal contribution, # corresponding author)

Arxiv 2025

[Preprint] [Code] [Website]

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process

Zhijun Chen*, Zeyu Ji*, Qianren Mao, Hao Wu, Junhang Cheng, Bangjie Qin, Zhuoran Li, Jingzheng Li, Kai Sun, Zizhe Wang, Yikun Ban, Zhu Sun, Xiangyang Ji, Hailong Sun# (* equal contribution, # corresponding author)

Arxiv 2025

[Preprint] [Code] [Website]

Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling
Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling

Qianhui Zhao, Li Zhang, Fang Liu#, Junhang Cheng, Chengru Wu, Junchen Ai, Qiaoyuanhe Meng, Lichen Zhang, Xiaoli Lian, Shubin Song, Yuanping Guo (# corresponding author)

Arxiv 2025

[Preprint] [Code]

Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling

Qianhui Zhao, Li Zhang, Fang Liu#, Junhang Cheng, Chengru Wu, Junchen Ai, Qiaoyuanhe Meng, Lichen Zhang, Xiaoli Lian, Shubin Song, Yuanping Guo (# corresponding author)

Arxiv 2025

[Preprint] [Code]

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

Junhang Cheng, Fang Liu#, Chengru Wu, Li Zhang (# corresponding author)

Internetware 2025

[Preprint] [Paper] [Code]

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

Junhang Cheng, Fang Liu#, Chengru Wu, Li Zhang (# corresponding author)

Internetware 2025

[Preprint] [Paper] [Code]