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Jiasheng Zheng 郑家胜
I am a Ph.D. student of Chinese Information Processing Center, Institute of Software, Chinese Academy of Sciences, supervised by Le Sun.
In September 2022, I was admitted to study for a M.Sc. degree without entrance examination.
In July 2023, I successfully received my Bachelor of Engineering degree from School of Software Engineering of South China University of Technology.
My research interests include:
- Code Large Language Models
- Post-training of Large Language Models
Contact: zhengjiasheng2022{at}iscas{dot}ac{dot}cn
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2026
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ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
Jiasheng Zheng, Xin Zheng, Boxi Cao, Pengbo Wang, Zhengzhao Ma, Qiming Zhu, Jiazhen Jiang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun
ACL 2026 Demo
Github
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2024
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Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models
Jiasheng Zheng, Boxi Cao, Zhengzhao Ma, Ruotong Pan, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun
arXiv preprint arXiv: 2407.11470 (2024)
ArXiv /
Github /
Leaderboard
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Multi-Facet Counterfactual Learning for Content Quality Evaluation
Jiasheng Zheng, Hongyu Lin, Boxi Cao, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun
arXiv preprint arXiv: 2410.07693 (2024)
ArXiv
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Explicitly Diverse Visual Question Generation
Jiayuan Xie, Jiasheng Zheng, Wenhao Fang, Yi Cai, Qing Li
Neural Networks, 184 (2025)
Paper
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2025
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First Official Long-Context Code RL Training Infrastructure on Huawei Ascend
TL;DR: Based on verl and ScaleBox, we validated the effectiveness of Code RL on 1.5B, 4B, and 30B-A3B model scales. This contribution was recognized by the Ascend team and merged into the main repository.
Gitcode /
WeChat Live
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ScaleBox: A Scalable Sandbox for Distributed Code Execution, RL Training and Unified Benchmarking
TL;DR: It supports both NVIDIA and Ascend platforms, and improves the fidelity and efficiency of code validation.
Github /
WeChat Article
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ReasoningLens: A User-friendly Toolkit to Visualize, Understand, and Debug Model Reasoning Chains
TL;DR: Out-of-the-box and integrated into Open WebUI.
Github /
Blog
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| Beike |
LLM Algorithm Engineer, Beijing, China, 10/2024 - 06/2025
Alignment & Knowledge Injection in LLMs for the home decoration domain
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| 2026 |
CANN (Huawei Ascend) Core Contributor
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| 2024 |
University of Chinese Academy of Sciences (UCAS) Outstanding Student
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| 2020, 2021, 2022 |
South China University of Technology (SCUT) Second-Class Scholarship
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| 2020 |
South China University of Technology (SCUT) Outstanding Student
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