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Jiawei Cao

Jiawei Cao has 2 papers in our library, in 2025–2026; often with Xiaofeng Zhang, Xiaosong Yuan, Chaochen Gu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 26 works · 225 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #10770

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 2The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 works

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs (2025 · 14 citations)
    The paper investigates why large vision-language models (LVLMs) hallucinate, focusing on attention over image tokens, which make up most of the input.
  2. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs (2026)
    Large vision-language models (LVLMs) often mention objects that are not in the image. This undermines trust in uses such as captioning and product descriptions. The authors link part of this to two effects. First, attention collapses onto a few visual "sink" tokens with extreme query/key activations. Second, RoPE…

 Co-authors here

9 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 9 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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