Zexin Li
Zexin Li has 2 papers in our library, in 2026, most of them on Language models & pretraining, Code & programming languages; often with Dawei Xiang, Jinghan Cao, Shangqian Gao.
OpenAlex · ORCID · h-index 15 · 63 works · 761 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #12349
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksSoftware · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksCode & programming languages · 1 work
Works by year
2020s
Papers
- TreeDiff: AST-Guided Code Generation with Diffusion LLMs (2026 · 3 citations)
Diffusion-based language models (DLLMs) generate text by iteratively un-masking a corrupted sequence. They do this poorly for code, partly because training masks tokens uniformly at random, ignoring program grammar. As a result, models often produce syntactically broken drafts and miss long-range relations such as… - HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks (2026)
LLM-based text editing often fails in two ways. Models may not carry out the user's instruction precisely, and they tend to rewrite parts of the text that should stay untouched, which can break code or degrade a corrected document. HyperEdit addresses both problems. A hypernetwork reads the instruction and the source…
Co-authors here
- Dawei Xiang ×2
- Jinghan Cao ×2
- Shangqian Gao ×2
- Tingting Yu ×2
- Yiming Zeng ×2
- Tao Ren
- Ting Hua
- Xin Liu
- Yiming Chen
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era: Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026
Cited by
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