Elamur Research⌕
☰
home / authors / Yuge Zhang

Yuge Zhang

Yuge Zhang has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Dongsheng Li, Jian Wang, Jiang Bian.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 14 · 135 works · 641 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #8983

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Tsinghua UniversityBeijing · China2021–2026 · 35 paperscurrent🎓Peking UniversityBeijing · China2024–2026 · 32 paperscurrent🎓Aarhus UniversityAarhus · Denmark2023–2026 · 6 paperscurrent🔬State Key Laboratory of Nuclear Physics and TechnologyBeijing2025–2026 · 5 paperscurrent🏢MicrosoftRedmond · United States2020–2025 · 4 papers🎓Northwestern Polytechnical UniversityXi'an · China2021–2025 · 4 papers🎓Shandong UniversityJinan · China2021–2023 · 4 papers🎓Wuhan University of Science and TechnologyWuhan · China2024–2025 · 3 papers🎓Zhejiang A & F UniversityLin’an Shi · China2023–2024 · 3 papers🏢Microsoft Research AsiaBeijing · China2020–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks (2024 · 52 citations)
    Configuring machine learning solutions for new tasks takes a lot of effort. AutoML tools such as Bayesian optimization need many costly trials, ignore earlier tasks, and are hard for developers to interpret. MLCopilot is a framework that uses large language models (GPT-3.5) to propose ML solutions the way a human…
  2. Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search (2026)
    Most LLM agents for machine learning engineering (MLE) improve solutions through tree or graph search. They reduce rich execution feedback to a scalar score and use it only to decide which candidate to keep. The authors argue that this is a gradient-free approach. It wastes diagnostic information that strong…

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yuge-zhang/