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20222026
most citedA Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

2.1k citations · 2.1k across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering

Qiming Li, Zekai Ye, Xiaocheng Feng +9

Although Large Vision-Language Models (LVLMs) have demonstrated remarkable performance on downstream tasks, they frequently produce contents that deviate from visual information, l…

cs.CV2025

Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation

Qiming Li, Zekai Ye, Xiaocheng Feng +3

Despite the remarkable advancements of Large Vision-Language Models (LVLMs), the mechanistic interpretability remains underexplored. Existing analyses are insufficiently comprehens…

cs.CV2025

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Qiming Li, Zekai Ye, Xiaocheng Feng +8

Although Large Vision-Language Models (LVLMs) have demonstrated powerful capabilities in interpreting visual information, they frequently produce content that deviates from visual…

cs.CV2024

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective

Xinmiao Yu, Xiaocheng Feng, Yun Li +10

Recent Large Vision-Language Models (LVLMs) have shown promising reasoning capabilities on text-rich images from charts, tables, and documents. However, the abundant text within su…

cs.CV2024★ 1 cited

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Weihong Zhong, Xiaocheng Feng, Liang Zhao +6

Though advanced in understanding visual information with human languages, Large Vision-Language Models (LVLMs) still suffer from multimodal hallucinations. A natural concern is tha…

cs.CV2024

A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks

Minzhe Huang, Changwei Nie, Weihong Zhong

In recent years, Face Anti-Spoofing (FAS) has played a crucial role in preserving the security of face recognition technology. With the rise of counterfeit face generation techniqu…

cs.CV2023★ 6 cited

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training

Weihong Zhong, Mao Zheng, Duyu Tang +4

Although large-scale video-language pre-training models, which usually build a global alignment between the video and the text, have achieved remarkable progress on various downstr…