Image de couverture de livre

Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Chengsheng, Sun, Chenghao, Jiang, Xinyan, Li, Wei, Tian, Xinmei
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
par: Zhang, Chengsheng, et autres
Publié: (2026)

V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention
par: Sun, Nan, et autres
Publié: (2025)

Mitigating Multilingual Hallucination in Large Vision-Language Models
par: Qu, Xiaoye, et autres
Publié: (2024)

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
par: Ye, Zekai, et autres
Publié: (2025)

VERHallu: Evaluating and Mitigating Event Relation Hallucination in Video Large Language Models
par: Zhang, Zefan, et autres
Publié: (2026)

Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction
par: Zhang, Yuanhong, et autres
Publié: (2026)

INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
par: Dong, Xin, et autres
Publié: (2025)

When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models
par: Yakun, Cui, et autres
Publié: (2026)

MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention Processing
par: Li, Chenxi, et autres
Publié: (2025)

SDCD: Structure-Disrupted Contrastive Decoding for Mitigating Hallucinations in Large Vision-Language Models
par: Xia, Yuxuan, et autres
Publié: (2026)

Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models
par: Sun, Li, et autres
Publié: (2024)

Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
par: An, Wenbin, et autres
Publié: (2024)

Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models
par: Lee, Yi-Lun, et autres
Publié: (2024)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
par: Zhong, Weihong, et autres
Publié: (2024)

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
par: Duan, Jinhao, et autres
Publié: (2025)

Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
par: Liu, Yufang, et autres
Publié: (2024)

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
par: Zhu, Younan, et autres
Publié: (2025)

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
par: Yin, Jianghao, et autres
Publié: (2026)

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization
par: Xie, Yuxi, et autres
Publié: (2024)

Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning
par: Hu, Rui, et autres
Publié: (2024)

Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
par: Zou, Zhengtao, et autres
Publié: (2025)

MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
par: Chang, Aofei, et autres
Publié: (2025)

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
par: Qu, Xiaoye, et autres
Publié: (2024)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
par: Min, Kyungmin, et autres
Publié: (2024)

Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
par: Chen, Xinrong, et autres
Publié: (2026)

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models
par: Hu, Nanxing, et autres
Publié: (2025)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
par: Wang, Xintong, et autres
Publié: (2024)

BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models
par: Tran, Huu-Thien, et autres
Publié: (2025)

Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
par: Manevich, Avshalom, et autres
Publié: (2024)

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
par: Wu, Jiulong, et autres
Publié: (2025)

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
par: Chen, Xinlong, et autres
Publié: (2025)

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
par: Fu, Yuhan, et autres
Publié: (2024)

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
par: Qu, Xiaoye, et autres
Publié: (2024)

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
par: Tang, Kai, et autres
Publié: (2025)

A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving
par: Long, Keke, et autres
Publié: (2025)

Review of Hallucination Understanding in Large Language and Vision Models
par: Ho, Zhengyi, et autres
Publié: (2025)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
par: Woo, Sangmin, et autres
Publié: (2025)

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models
par: Zhang, Yudong, et autres
Publié: (2024)

VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
par: Zhang, Feiran, et autres
Publié: (2026)

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
par: Huo, Fushuo, et autres
Publié: (2024)