Jing Su
Jing Su has 3 papers in our library, in 2025, most of them on Language models & pretraining, Code & programming languages; often with ByteDance Seed, Cheng Luo, Daoguang Zan.
OpenAlex · ORCID · h-index 14 · 39 works · 976 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 60 times in our library · ⭐ Paper Stars ranking: #7276
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksInformation Systems · 3 worksLanguage and Linguistics · 3 worksComputer Science Applications · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workCode & programming languages · 1 work
Works by year
2020s
Papers
- Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference (2025 · 28 citations)
Discrete diffusion language models can generate many tokens in parallel, but two problems limit them in practice. - Seed-Coder: Let the Code Model Curate Data for Itself (2025 · 25 citations)
Open code LLMs usually build their pretraining corpora with human-designed heuristics, such as per-language filtering rules or quality classifiers trained on human labels. - CodeDPO: Aligning Code Models with Self Generated and Verified Source Code (2025 · 20 citations)
Supervised fine-tuning helps code LLMs, but it does not reliably teach them to favor correct programs over flawed ones. It also does nothing to reward faster code. CodeDPO addresses both gaps with preference learning.
Co-authors here
- ByteDance Seed
- Cheng Luo
- Daoguang Zan
- Ge Li
- Hao Luo
- Jingjing Xu
- Jinhua Zhu
- Jun Zhang
- Kaibo Liu
- Kechi Zhang
- Tao Sun
- Xingwei Qu
Venues
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