---
title: "Lu Yin · University of Surrey — author profile and papers"
description: "Lu Yin, University of Surrey: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/lu-yin/"
---
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# Lu Yin

Lu Yin has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Aditya Joshi](https://md.research.elamur.ai/free/en/authors/aditya-joshi/), [Dipankar Srirag](https://md.research.elamur.ai/free/en/authors/dipankar-srirag/), [Diptesh Kanojia](https://md.research.elamur.ai/free/en/authors/diptesh-kanojia/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5110046529) · [**h-index 3**](https://openalex.org/authors/A5110046529) · [10 works](https://openalex.org/works?filter=author.id:A5110046529) · [86 citations](https://openalex.org/works?filter=author.id:A5110046529&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lu-yin/#papers) · [⭐ Paper Stars ranking: #13743](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13743)

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

## Affiliations

[🎓**University of Surrey** Guildford · United Kingdom 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-surrey/)

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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/lu-yin/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/yan-2026-beyond-cross-modal-alignment-measuring/)** *(2026)* Vision-language models are usually judged by how well they align images and text. Most prior work treats the remaining modality gap as a defect. This paper argues instead that the gap is common and can be useful. It introduces the Modality Dominance Score (MDS), which compares how strongly each final-layer feature of…
2. **[DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation](https://md.research.elamur.ai/free/en/papers/painter-2026-diallm-investigation-robustness-generation-gap/)** *(2026)* The paper argues that today's LLMs can usually read regional Englishes but almost always reply in a standard, US-leaning variety.

## Co-authors here

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

- [Aditya Joshi](https://md.research.elamur.ai/free/en/authors/aditya-joshi/)
- [Dipankar Srirag](https://md.research.elamur.ai/free/en/authors/dipankar-srirag/)
- [Diptesh Kanojia](https://md.research.elamur.ai/free/en/authors/diptesh-kanojia/)
- [Hanqi Yan](https://md.research.elamur.ai/free/en/authors/hanqi-yan/)
- [Jindong Gu](https://md.research.elamur.ai/free/en/authors/jindong-gu/)
- [Jordan Painter](https://md.research.elamur.ai/free/en/authors/jordan-painter/)
- [Paul Pu Liang](https://md.research.elamur.ai/free/en/authors/paul-pu-liang/)
- [Yifei Wang](https://md.research.elamur.ai/free/en/authors/yifei-wang/)
- [Yulan He](https://md.research.elamur.ai/free/en/authors/yulan-he/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

Updated 2 November 2026
