🧑‍🔬 Yuling Shi

🏛️ Affiliations

🎓Tsinghua UniversityBeijing · China2021–2026 · 11 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2025–2026 · 4 paperscurrent🔬State Key Laboratory of Chemical EngineeringHangzhou · China2016–2026 · 3 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2014–2024 · 8 papers🔬Wuhan National Laboratory for OptoelectronicsWuhan · China2014–2016 · 7 papers🎓East China University of Science and TechnologyShanghai · China2016–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging (2024 · 15 citations)
   LLMs often write code that is almost right but fails tests because of small mistakes. Existing LLM-based repair loops usually look at the whole program at once, which makes bugs hard to locate. The authors propose MGDebugger, which needs no extra training and works in a zero-shot setting. First, an LLM restructures…
2. SWE-QA: Can Language Models Answer Repository-level Code Questions? (2026 · 7 citations)
   Most code question-answering benchmarks, such as CoSQA and CodeQA, test models on short, isolated snippets. Real developer questions often require moving across files, following dependencies and understanding a project's architecture. SWE-QA is a benchmark built for this repository-level setting.
3. GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts (2026 · 1 citation)
   Large reasoning models produce long chains of thought, which makes inference slow and expensive. Collaborative inference addresses this by splitting work between a small and a large model. The hard part is deciding cheaply which model should handle each step. Existing step-level routers either generate a full step…

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Xiaodong Gu ×3
• Beijun Shen ×2
• Min Wang
• Yuhang Wang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

🔗 Cited by

Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read).

Updated 31 October 2026

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