---
title: "Long Yuan — author profile and papers · Summarization"
description: "Long Yuan, Wuhan University of Technology: 2 papers on Elamur Research (2026), h-index 18 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/long-yuan/"
---
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# Long Yuan

Long Yuan has 2 papers in our library, in 2026, most of them on [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jinan Xu](https://md.research.elamur.ai/free/en/authors/jinan-xu/), [Rui Qi](https://md.research.elamur.ai/free/en/authors/rui-qi/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5069580961) · [ORCID](https://orcid.org/0000-0001-8111-0401) · [**h-index 18**](https://openalex.org/authors/A5069580961) · [83 works](https://openalex.org/works?filter=author.id:A5069580961) · [931 citations](https://openalex.org/works?filter=author.id:A5069580961&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/long-yuan/#papers) · [⭐ Paper Stars ranking: #13741](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13741)

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=Long+Yuan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Long+Yuan) · [dblp](https://dblp.org/search?q=Long+Yuan) · [ACL Anthology](https://aclanthology.org/search/?q=Long+Yuan)

## Affiliations

[🎓**Wuhan University of Technology** Wuhan · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university-of-technology/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2019–2025 · 40 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🎓**UNSW Sydney** Sydney · Australia 2016–2018 · 10 papers](https://md.research.elamur.ai/free/en/universities/unsw-sydney/) · [🎓**Colorado State University Pueblo** Pueblo · United States 2009–2020 · 4 papers](https://ror.org/02gn3zg65) · [🎓**University of Nebraska–Lincoln** Lincoln · United States 2003–2006 · 4 papers](https://ror.org/043mer456) · [🎓**Brunel University of London** London · United Kingdom 2020–2022 · 2 papers](https://ror.org/00dn4t376)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/long-yuan/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evidence-Augmented Generation Reasoning for Extremely Low-Resource Language Decipherment](https://md.research.elamur.ai/free/en/papers/zhu-2026-evidence-augmented-generation-reasoning-extremely/)** *(2026)* The paper addresses Rosetta Stone-style puzzles from linguistic Olympiads. A model sees a few sentence pairs in an extremely low-resource or extinct language plus English and must infer grammar and vocabulary to translate new items, match words, or fill in forms. Plain few-shot or chain-of-thought prompting tends to…
2. **[HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-higoe-hierarchical-graph-evidence-enhance/)** *(2026)* Long documents strain LLMs in two ways: attention spreads too thin, and the models tend to invent content.

## Co-authors here

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

- [Jinan Xu](https://md.research.elamur.ai/free/en/authors/jinan-xu/)
- [Rui Qi](https://md.research.elamur.ai/free/en/authors/rui-qi/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/): [Workshop on Multilinguality in the Era of Large Language Models 2026](https://md.research.elamur.ai/free/en/venues/mellm/2026/)

Updated 2 November 2026
