Li Zhong
Li Zhong has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Jingbo Shang, Shaosheng Cao, Zheyong Xie.
OpenAlex · ORCID · h-index 17 · 141 works · 1,597 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 84 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7485
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Science Applications · 1 workInformation Systems · 1 workSoftware · 1 workArts and Humanities · 1 workArtificial Intelligence · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step (2024 · 124 citations)
Code produced by large language models often fails tests. Earlier repair methods give the model only end-of-run feedback, such as pass/fail results or error messages, and treat the program as one opaque unit. This paper introduces LDB (Large Language Model Debugger), which mimics how programmers set breakpoints and… - One Token Is Enough: Improving Diffusion Language Models with a Sink Token (2026 · 2 citations)
Diffusion Language Models (DLMs) such as LLaDA and Dream generate text in parallel using bidirectional attention.
All works
- Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis ↗arXiv:2312.16812 · no summary yetZhan Li et al.2023 · 233 citations
- Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-steparXiv:2402.16906Li Zhong, Zilong Wang, Jingbo Shang2024 · 124 citations
- One Token Is Enough: Improving Diffusion Language Models with a Sink TokenFindings of the Association for Computational LinguisticsZihou Zhang, Zheyong Xie, Li Zhong, et al.2026 · 2 citations
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/li-zhong/