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Feiran Zhang

ACL 2026×2AAAI 2026多模态可解释性多语言与语言学安全
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一作贡献30
核心/参与17
方向广度11
合作网络6
1 一作 · 3 篇 · ACL 2026 / AAAI 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

VIB -Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck

Feiran Zhang · Yixin Wu · Zhenghua Wang · Xiaohua Wang · Changze Lv · Xuanjing Huang · Xiaoqing Zheng

摘要

Vision-Language Models (VLMs) have demonstrated remarkable progress in multimodal tasks, but remain susceptible to hallucinations, where generated text deviates from the underlying visual content. Existing hallucination detection methods primarily rely on output logits or external verification to...

可解释性多模态多语言与语言学OpenReview 项目页
作者位次 #3/7ACL 2026Findings· Findings of ACL

Mitigating Hallucinations in VLM s: Enhancing Visual Attention via Head-Wise Perturbation

Zhenghua Wang · Yixin Wu · Feiran Zhang · Qi Qian · Changze Lv · Xuanjing Huang · Xiaoqing Zheng

摘要

Vision–Language Models (VLMs) have demonstrated strong capabilities in tasks that require joint understanding of text and images. However, as many VLMs are built upon pre-trained large language models, they often over-rely on linguistic priors at the expense of visual features, causing persistent...

多模态安全可解释性OpenReview 项目页

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