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Feiran Zhang

Feiran Zhang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Changze Lv, Yixin Wu, Zhenghua Wang.

3 papers in our library · 2024–2026

OpenAlex · h-index 1 · 2 works · 2 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 40 times in our library · ⭐ Paper Stars ranking: #6149

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

🎓Fudan UniversityShanghai · China2026 · 2 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 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 · 1 workVision & language · 1 work

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

 Works by year

2020s

20262 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. 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.

 Co-authors here

10 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 40 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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