Bo Shen
Bo Shen has 3 papers in our library, in 2022–2026, most of them on Language models & pretraining, Code & programming languages; often with Daoguang Zan, Dong Chen, Fan Yang.
OpenAlex · ORCID · Wikidata · h-index 62 · 453 works · 20,019 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 36 times in our library · ⭐ Paper Stars ranking: #7519
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 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksComputer Science Applications · 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
- PanGu-Coder: Program Synthesis with Function-Level Language Modeling (2022 · 49 citations)
The paper addresses text-to-code generation: producing a Python function body that passes unit tests, given an English problem description and a function signature. - CodeS: Natural Language to Code Repository via Multi-Layer Sketch (2024 · 9 citations)
The paper introduces NL2Repo, a task in which a model must build a whole software repository from a natural-language requirements document, here a project's README.md. - Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering (2026 · 3 citations)
Steering large language models by adding linear concept vectors to their hidden states works poorly for abstract concepts such as sycophancy or corrigibility.
Co-authors here
- Daoguang Zan
- Dong Chen
- Fan Yang
- Fenia Christopoulou
- Guchun Zhang
- Haiyan Zhao
- Hao Yu
- Lin Li
- Mengnan Du
- Milan Gritta
- Ninghao Liu
- Qi Zhang
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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