---
title: "Xiang Xiang — author profile and papers — Elamur Research"
description: "Xiang Xiang, Huazhong University of Science and Technology: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/xiang-xiang/"
---
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# Xiang Xiang

Xiang Xiang has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Alexander Martin](https://md.research.elamur.ai/free/en/authors/alexander-martin/), [Andrew Yates](https://md.research.elamur.ai/free/en/authors/andrew-yates/), [Francis Ferraro](https://md.research.elamur.ai/free/en/authors/francis-ferraro/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5094302520) · [**h-index 3**](https://openalex.org/authors/A5094302520) · [9 works](https://openalex.org/works?filter=author.id:A5094302520) · [34 citations](https://openalex.org/works?filter=author.id:A5094302520&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiang-xiang/#papers) · [⭐ Paper Stars ranking: #12283](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12283)

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

## Affiliations

[🎓**Huazhong University of Science and Technology** Wuhan · China 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Findings of the MAGMaR 2026 Shared Task](https://md.research.elamur.ai/free/en/papers/martin-2026-findings-magmar-2026-shared-task/)** *(2026)* This overview reports the MAGMaR 2026 shared task, held at the second MAGMaR workshop at ACL. The task addresses multimodal information seeking, an area where most benchmarks still focus on text alone. Participants either ranked videos for a persona-specific query about a real 2025 event, or wrote cited articles…
2. **[MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation](https://md.research.elamur.ai/free/en/papers/wei-2026-mode-rag-manifold-outlier-diagnosis/)** *(2026)* Multimodal RAG systems built on vision-language models often contradict the visual evidence, invent causal links, or give in to leading user claims (sycophancy).

## Co-authors here

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

- [Alexander Martin](https://md.research.elamur.ai/free/en/authors/alexander-martin/)
- [Andrew Yates](https://md.research.elamur.ai/free/en/authors/andrew-yates/)
- [Francis Ferraro](https://md.research.elamur.ai/free/en/authors/francis-ferraro/)
- [Jeremy Gwinnup](https://md.research.elamur.ai/free/en/authors/jeremy-gwinnup/)
- [Kenton Murray](https://md.research.elamur.ai/free/en/authors/kenton-murray/)
- [Reno Kriz](https://md.research.elamur.ai/free/en/authors/reno-kriz/)

## Venues

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

- [Workshop on Multimodal Augmented Generation via Multimodal Retrieval](https://md.research.elamur.ai/free/en/venues/magmar/) ×2: [Workshop on Multimodal Augmented Generation via Multimodal Retrieval 2026](https://md.research.elamur.ai/free/en/venues/magmar/2026/) ×2

Updated 1 November 2026
