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Yixin Wu

Yixin Wu has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Changze Lv, Zhenghua Wang, Feiran Zhang.

5 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 27 · 106 works · 2,245 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 41 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6135

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Yunnan Agricultural UniversityKunming · China2007–2026 · 75 paperscurrent🔬Helmholtz Center for Information SecuritySaarbrücken · Germany2022–2026 · 10 paperscurrent🔬Jiangsu Key Laboratory of Marine BiotechnologyLianyungang · China2026 · 1 papercurrent🎓Jiangsu Ocean UniversityHaizhou · China2026 · 1 papercurrent🔬Jiangsu Provincial Key Laboratory of Marine Bioresources and EnvironmentLianyungang Shi · China2026 · 1 papercurrent🎓Sichuan UniversityChengdu · China2019–2022 · 3 papers🏥First Affiliated Hospital Zhejiang UniversityHangzhou · China2023–2025 · 2 papers🎓Hangzhou Normal UniversityHangzhou · China2023–2025 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 2 works

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 2 worksVision & language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Retrieval-augmented generation · 1 work

 Works by year

2020s

20264 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Searching for Best Practices in Retrieval-Augmented Generation (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 (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 (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 (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 (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 GenerationConference on Empirical Methods in Natural Language Processing (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 BottleneckAnnual Meeting of the Association for Computational Linguistics (ACL)Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.2026 · 3 citations
  3. Peering Behind the Shield: Guardrail Identification in Large Language ModelsFindings of the Association for Computational LinguisticsZiqing Yang, Yixin Wu, Rui Wen, et al.2026 · 1 citation
  4. Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise PerturbationFindings of the Association for Computational LinguisticsZhenghua Wang, Yixin Wu, Feiran Zhang, et al.2026
  5. Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding ScalingFindings of the Association for Computational LinguisticsZhenghua Wang, Yiran Ding, Changze Lv, et al.2026
  6. InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYixin Wu et al.2026

 Co-authors here

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

Venues

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

 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 →.

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