INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Xin, Dong, Shichao, Wang, Jin, Huang, Jing, Zhou, Li, Sun, Zenghui, Jing, Lihua, Lan, Jingsong, Zhu, Xiaoyong, Zheng, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning
by: Jia, Haonan, et al.
Published: (2026)
by: Jia, Haonan, et al.
Published: (2026)
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model
by: Zhou, Li, et al.
Published: (2024)
by: Zhou, Li, et al.
Published: (2024)
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)
by: Zhu, Younan, et al.
Published: (2025)
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
by: Zheng, Jun, et al.
Published: (2026)
by: Zheng, Jun, et al.
Published: (2026)
Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
by: Chang, Yue, et al.
Published: (2024)
by: Chang, Yue, et al.
Published: (2024)
Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
by: Chen, Xinrong, et al.
Published: (2026)
by: Chen, Xinrong, et al.
Published: (2026)
REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
by: Tang, Yiwen, et al.
Published: (2025)
by: Tang, Yiwen, et al.
Published: (2025)
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
by: Zhao, Linxi, et al.
Published: (2024)
by: Zhao, Linxi, et al.
Published: (2024)
Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
by: Ma, Ruiqi, et al.
Published: (2025)
by: Ma, Ruiqi, et al.
Published: (2025)
Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction
by: Zhang, Yuanhong, et al.
Published: (2026)
by: Zhang, Yuanhong, et al.
Published: (2026)
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models
by: Sun, Yaqi, et al.
Published: (2025)
by: Sun, Yaqi, et al.
Published: (2025)
HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
by: Tong, Xin, et al.
Published: (2025)
by: Tong, Xin, et al.
Published: (2025)
Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow
by: Zhao, Jianfei, et al.
Published: (2025)
by: Zhao, Jianfei, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
by: Zhu, Xingyu, et al.
Published: (2026)
by: Zhu, Xingyu, et al.
Published: (2026)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
by: Zhou, Yiyang, et al.
Published: (2023)
by: Zhou, Yiyang, et al.
Published: (2023)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
by: Lu, Yifan, et al.
Published: (2025)
by: Lu, Yifan, et al.
Published: (2025)
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
by: Zhang, Jinrui, et al.
Published: (2024)
by: Zhang, Jinrui, et al.
Published: (2024)
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
by: Zhang, Chengsheng, et al.
Published: (2026)
by: Zhang, Chengsheng, et al.
Published: (2026)
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
Exploring and Mitigating Fawning Hallucinations in Large Language Models
by: Shangguan, Zixuan, et al.
Published: (2025)
by: Shangguan, Zixuan, et al.
Published: (2025)
MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration
by: Fazli, Mehrdad, et al.
Published: (2025)
by: Fazli, Mehrdad, et al.
Published: (2025)
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2025)
by: Jing, Liqiang, et al.
Published: (2025)
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)
by: Zhong, Weihong, et al.
Published: (2024)
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
by: Wu, Jialin, et al.
Published: (2026)
by: Wu, Jialin, et al.
Published: (2026)
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
by: Li, Bin, et al.
Published: (2025)
by: Li, Bin, et al.
Published: (2025)
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
by: Liu, Yufang, et al.
Published: (2024)
by: Liu, Yufang, et al.
Published: (2024)
Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
by: Yin, Jianghao, et al.
Published: (2026)
by: Yin, Jianghao, et al.
Published: (2026)
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)
by: Huang, Yanwen, et al.
Published: (2025)
Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
by: Agrawal, Aakriti, et al.
Published: (2025)
by: Agrawal, Aakriti, et al.
Published: (2025)
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
by: Xiao, Wenyi, et al.
Published: (2024)
by: Xiao, Wenyi, et al.
Published: (2024)
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2023)
by: Jing, Liqiang, et al.
Published: (2023)
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)
by: Liu, Shuliang, et al.
Published: (2026)
Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
by: Tang, Kai, et al.
Published: (2025)
by: Tang, Kai, et al.
Published: (2025)
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
by: Fieback, Laura, et al.
Published: (2025)
by: Fieback, Laura, et al.
Published: (2025)
MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
by: Chang, Aofei, et al.
Published: (2025)
by: Chang, Aofei, et al.
Published: (2025)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)
by: Woo, Sangmin, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
by: Wang, Xintong, et al.
Published: (2024)
by: Wang, Xintong, et al.
Published: (2024)
Similar Items
-
Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning
by: Jia, Haonan, et al.
Published: (2026) -
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model
by: Zhou, Li, et al.
Published: (2024) -
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025) -
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
by: Zheng, Jun, et al.
Published: (2026) -
Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)