--- title: "Yuling Shi — author profile and papers — Elamur Research" description: "Yuling Shi, Shanghai Jiao Tong University: 3 papers on Elamur Research (2024–2026), h-index 14 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuling-shi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuling-shi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuling Shi # Yuling Shi Yuling Shi has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Xiaodong Gu](https://md.research.elamur.ai/free/en/authors/xiaodong-gu/), [Beijun Shen](https://md.research.elamur.ai/free/en/authors/beijun-shen/), [Min Wang](https://md.research.elamur.ai/free/en/authors/min-wang/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5070594817) · [ORCID](https://orcid.org/0009-0009-9738-7072) · [**h-index 14**](https://openalex.org/authors/A5070594817) · [28 works](https://openalex.org/works?filter=author.id:A5070594817) · [958 citations](https://openalex.org/works?filter=author.id:A5070594817&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yuling-shi/#papers) · 🔗 Cited 17 times in our library · [⭐ Paper Stars ranking: #8861](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8861) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuling+Shi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuling+Shi) · [dblp](https://dblp.org/search?q=Yuling+Shi) · [ACL Anthology](https://aclanthology.org/search/?q=Yuling+Shi) ## Affiliations [🎓**Tsinghua University** Beijing · China 2021–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🔬**State Key Laboratory of Chemical Engineering** Hangzhou · China 2016–2026 · 3 papers*current*](https://ror.org/05803vc71) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2014–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🔬**Wuhan National Laboratory for Optoelectronics** Wuhan · China 2014–2016 · 7 papers](https://ror.org/03c9ncn37) · [🎓**East China University of Science and Technology** Shanghai · China 2016–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) 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. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuling-shi/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yuling-shi/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging](https://md.research.elamur.ai/free/en/papers/shi-2024-code-correctness-closing-last-mile/)** *(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?](https://md.research.elamur.ai/free/en/papers/peng-2026-swe-qa-can-language-models/)** *(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](https://md.research.elamur.ai/free/en/papers/zeng-2026-glimprouter-efficient-collaborative-inference-glimpsing/)** *(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](https://md.research.elamur.ai/free/en/authors/xiaodong-gu/) ×3 - [Beijun Shen](https://md.research.elamur.ai/free/en/authors/beijun-shen/) ×2 - [Min Wang](https://md.research.elamur.ai/free/en/authors/min-wang/) - [Yuhang Wang](https://md.research.elamur.ai/free/en/authors/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](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/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