---
title: "Guangzhi Xiong — author profile and papers — Elamur Research"
description: "Guangzhi Xiong, University of Virginia: 2 papers on Elamur Research (2024), h-index 7 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/guangzhi-xiong/"
---
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# Guangzhi Xiong

Guangzhi Xiong has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Aidong Zhang](https://md.research.elamur.ai/free/en/authors/aidong-zhang/), [Qiao Jin](https://md.research.elamur.ai/free/en/authors/qiao-jin/), [Zhiyong Lu](https://md.research.elamur.ai/free/en/authors/zhiyong-lu/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5047322230) · [ORCID](https://orcid.org/0000-0002-8049-5298) · [**h-index 7**](https://openalex.org/authors/A5047322230) · [49 works](https://openalex.org/works?filter=author.id:A5047322230) · [565 citations](https://openalex.org/works?filter=author.id:A5047322230&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guangzhi-xiong/#papers) · [🔗 Cited 141 times in our library](https://md.research.elamur.ai/free/en/authors/guangzhi-xiong/cited-by/) · [⭐ Paper Stars ranking: #4539](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4539)

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

## Affiliations

[🎓**University of Virginia** Charlottesville · United States 2023–2026 · 41 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-virginia/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).[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/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/guangzhi-xiong/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Benchmarking Retrieval-Augmented Generation for Medicine](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/)** *(2024 · 430 citations)* Large language models answer medical questions well, but they can produce confident errors and miss recent clinical knowledge.
2. **[Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models](https://md.research.elamur.ai/free/en/papers/xiong-2024-improving-scientific-hypothesis-generation-knowledge/)** *(2024 · 16 citations)* LLMs can propose new research directions, but they often produce convincing yet false claims. In science, where each reasoning step must be checkable, this is a serious problem. The authors present KG-CoI (Knowledge Grounded Chain of Ideas), a system that anchors LLM hypothesis generation in structured knowledge…

## Co-authors here

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

- [Aidong Zhang](https://md.research.elamur.ai/free/en/authors/aidong-zhang/) ×2
- [Qiao Jin](https://md.research.elamur.ai/free/en/authors/qiao-jin/)
- [Zhiyong Lu](https://md.research.elamur.ai/free/en/authors/zhiyong-lu/)

## 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/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

## Cited by

Papers of our library cite their works 141 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/guangzhi-xiong/cited-by/).

Updated 30 October 2026
