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Haohan Yuan

Haohan Yuan has 2 papers in our library, in 2025–2026, most of them on Summarization, Reasoning, Language models & pretraining; often with Haopeng Zhang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 22 works · 33 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #9081

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

🎓University of Hawaiʻi at MānoaHonolulu · United States2025–2026 · 10 paperscurrent🎓China People's Public Security UniversityBeijing · China2025–2026 · 4 paperscurrent🎓University of North Carolina at CharlotteCharlotte · United States2026 · 4 paperscurrent

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksSummarization · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Understanding LLM Reasoning for Abstractive Summarization (2026 · 11 citations)
    The paper asks whether the reasoning techniques that help LLMs with math and code also help abstractive summarization, a task built on compressing content rather than deriving answers.
  2. StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs (2025 · 9 citations)
    Large language models can choose summary sentences without training, but on long texts they often miss how the document is organized and which content is central.

 Co-authors here

1 co-author 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 19 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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