Kechi Zhang
Kechi Zhang has 3 papers in our library, in 2024–2026, most of them on Code & programming languages, Language models & pretraining; often with Zhi Jin, Ge Li, Yihong Dong.
OpenAlex · ORCID · Wikidata · h-index 9 · 34 works · 345 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 123 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5908
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksInformation Systems · 2 worksSoftware · 1 workArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Code & programming languages · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges (2024 · 150 citations)
Most LLM code generation research targets short, self-contained snippets. Real projects differ: most functions depend on other code in the same repository, its documentation and its runtime setup. The authors formalize a repo-level code generation task whose input combines documentation, contextual dependencies… - 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. - RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization (2026 · 6 citations)
RL-PLUS targets a known weakness of Reinforcement Learning with Verifiable Reward (RLVR). Standard on-policy training such as GRPO raises pass@1 but often lowers pass@k at large k. In other words, the tuned model solves fewer distinct problems than its base model, which the authors call capability boundary collapse.…
All works
- CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Jia Li, Ge Li, et al.2024 · 150 citations
- Self-Edit: Fault-Aware Code Editor for Code Generation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetKechi Zhang et al.2023 · 105 citations
- CodeDPO: Aligning Code Models with Self Generated and Verified Source CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Ge Li, Yihong Dong, et al.2025 · 20 citations
- RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yihong Dong, Xue Jiang, Yongding Tao, et al.2026 · 6 citations
Co-authors here
- Zhi Jin ×3
- Ge Li ×2
- Yihong Dong ×2
- Binhua Li
- Fei Huang
- Jia Li
- Jing Su
- Jingjing Xu
- Jun Zhang
- Lili Mou
- Rongyu Cao
- Xue Jiang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×4: ACL 2026, ACL 2025, ACL 2024
Cited by
Updated
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