---
title: "Yixin Wu — author profile and papers — Elamur Research"
description: "Yixin Wu, Yunnan Agricultural University: 5 papers on Elamur Research (2024–2026), h-index 27 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yixin-wu/"
---
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# Yixin Wu

Yixin Wu has 5 papers in our library, in 2024–2026, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Changze Lv](https://md.research.elamur.ai/free/en/authors/changze-lv/), [Zhenghua Wang](https://md.research.elamur.ai/free/en/authors/zhenghua-wang/), [Feiran Zhang](https://md.research.elamur.ai/free/en/authors/feiran-zhang/).

5 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5102863764) · [ORCID](https://orcid.org/0000-0002-3000-9423) · [**h-index 27**](https://openalex.org/authors/A5102863764) · [106 works](https://openalex.org/works?filter=author.id:A5102863764) · [2,245 citations](https://openalex.org/works?filter=author.id:A5102863764&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yixin-wu/#papers) · [🔗 Cited 41 times in our library](https://md.research.elamur.ai/free/en/authors/yixin-wu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6135](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6135)

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

## Affiliations

[🎓**Yunnan Agricultural University** Kunming · China 2007–2026 · 75 papers*current*](https://ror.org/04dpa3g90) · [🔬**Helmholtz Center for Information Security** Saarbrücken · Germany 2022–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/labs/helmholtz-center-for-information-security/) · [🔬**Jiangsu Key Laboratory of Marine Biotechnology** Lianyungang · China 2026 · 1 paper*current*](https://ror.org/037gg3108) · [🎓**Jiangsu Ocean University** Haizhou · China 2026 · 1 paper*current*](https://ror.org/031zps173) · [🔬**Jiangsu Provincial Key Laboratory of Marine Bioresources and Environment** Lianyungang Shi · China 2026 · 1 paper*current*](https://ror.org/0592a6788) · [🎓**Sichuan University** Chengdu · China 2019–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🏥**First Affiliated Hospital Zhejiang University** Hangzhou · China 2023–2025 · 2 papers](https://ror.org/05m1p5x56) · [🎓**Hangzhou Normal University** Hangzhou · China 2023–2025 · 2 papers](https://ror.org/014v1mr15)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Computer Vision and Pattern Recognition · 2 works](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.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

💡 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

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/yixin-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yixin-wu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Searching for Best Practices in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2024-searching-best-practices-retrieval-augmented/)** *(2024 · 150 citations)* Retrieval-augmented generation (RAG) pipelines consist of many stages, and each stage can be built in several ways.
2. **[VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck](https://md.research.elamur.ai/free/en/papers/zhang-2026-vib-probe-detecting-mitigating-hallucinations/)** *(2026 · 3 citations)* Vision-Language Models often describe things that are not actually in the image. Most existing detectors look only at output confidence, such as logit entropy, or rely on external verifiers. VIB-Probe looks inside the model instead. During decoding, it collects the raw per-head attention outputs from every…
3. **[Peering Behind the Shield: Guardrail Identification in Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-peering-behind-shield-guardrail-identification/)** *(2026 · 1 citation)* Conversational AI agents often place safety guardrails before or after their core LLM. Knowing which guardrail is in use lets an attacker treat it as a white-box target. Existing LLM fingerprinting methods transfer poorly to this task for four reasons: guardrails give near-binary verdicts, agents allow only black-box…
4. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/)** *(2026)* Vision-language models often hallucinate because they lean on the language priors of their LLM backbone instead of the image.
5. **[Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-position-bias-transformers-layer/)** *(2026)* Long-context LLMs that use RoPE tend to concentrate attention on the start and end of the input. As a result, they underuse content in the middle, a problem known as "lost-in-the-middle." Earlier fixes such as Attention Buckets, MoICE and Ms-PoE mix several RoPE bases or scales. However, they need repeated forward…

## All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Searching for Best Practices in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2024-searching-best-practices-retrieval-augmented/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.*2024 · 150 citations*
2. **[VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck](https://md.research.elamur.ai/free/en/papers/zhang-2026-vib-probe-detecting-mitigating-hallucinations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.*2026 · 3 citations*
3. **[Peering Behind the Shield: Guardrail Identification in Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-peering-behind-shield-guardrail-identification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziqing Yang, Yixin Wu, Rui Wen, et al.*2026 · 1 citation*
4. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026*
5. **[Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-position-bias-transformers-layer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yiran Ding, Changze Lv, et al.*2026*
6. **[InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents ↗](https://aclanthology.org/2026.findings-acl.572/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yixin Wu et al.*2026*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Changze Lv](https://md.research.elamur.ai/free/en/authors/changze-lv/) ×4
- [Zhenghua Wang](https://md.research.elamur.ai/free/en/authors/zhenghua-wang/) ×4
- [Feiran Zhang](https://md.research.elamur.ai/free/en/authors/feiran-zhang/) ×3
- [Qi Qian](https://md.research.elamur.ai/free/en/authors/qi-qian/) ×3
- [Xiaoqing Zheng](https://md.research.elamur.ai/free/en/authors/xiaoqing-zheng/) ×3
- [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/) ×3
- [Shizheng Li](https://md.research.elamur.ai/free/en/authors/shizheng-li/) ×2
- [Tianyuan Shi](https://md.research.elamur.ai/free/en/authors/tianyuan-shi/) ×2
- [Xiaohua Wang](https://md.research.elamur.ai/free/en/authors/xiaohua-wang/) ×2
- [Zhibo Xu](https://md.research.elamur.ai/free/en/authors/zhibo-xu/) ×2
- [Michael Backes](https://md.research.elamur.ai/free/en/authors/michael-backes/)
- [Muling Wu](https://md.research.elamur.ai/free/en/authors/muling-wu/)

## 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/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3
- [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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yixin-wu/cited-by/).

Updated 1 November 2026
