Elamur Research⌕
☰
home / authors / Yunzhong He

Yunzhong He

Yunzhong He has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Anisha Gunjal, Bing Liu, Sean Hendryx.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 5 · 27 works · 134 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 138 times in our library · ⭐ Paper Stars ranking: #6813

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

🎓Hochschule AalenAalen · Germany2026 · 2 paperscurrent🏢MetaMenlo Park · United States2020–2023 · 4 papersEmployment🎓University of California, Los AngelesLos Angeles · United States2016 · 1 paperEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workInformation Systems · 1 workSoftware · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions (2023 · 94 citations)
    The paper asks how well Auto-GPT-style agents perform on online decision-making tasks that resemble real-world use.
  2. Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains (2025 · 73 citations)
    Reinforcement learning with verifiable rewards (RLVR) works well for math and code because answers can be checked automatically.
  3. Agentic Rubrics as Contextual Verifiers for SWE Agents (2026 · 3 citations)
    Choosing the best patch from many SWE-agent attempts requires a good verifier. Running tests is reliable but costly, since each repository needs its own environment setup. Cheaper methods that skip execution, such as patch classifiers or similarity heuristics, tend to ignore codebase context and are hard to…

 Co-authors here

3 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 138 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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