ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Junzhe, Zhang, Tianshu, Huang, Shiyu, Niu, Yuwei, Zhang, Linfeng, Wen, Lijie, Hu, Xuming |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
por: Ye, Zekai, et al.
Publicado: (2025)
por: Ye, Zekai, et al.
Publicado: (2025)
Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution
por: Qin, Tian, et al.
Publicado: (2026)
por: Qin, Tian, et al.
Publicado: (2026)
OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination
por: Chen, Junzhe, et al.
Publicado: (2025)
por: Chen, Junzhe, et al.
Publicado: (2025)
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments
por: Chen, Junzhe, et al.
Publicado: (2024)
por: Chen, Junzhe, et al.
Publicado: (2024)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
por: Zhou, Yiyang, et al.
Publicado: (2023)
por: Zhou, Yiyang, et al.
Publicado: (2023)
Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models
por: Zhang, Huixuan, et al.
Publicado: (2024)
por: Zhang, Huixuan, et al.
Publicado: (2024)
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
por: Zhao, Linxi, et al.
Publicado: (2024)
por: Zhao, Linxi, et al.
Publicado: (2024)
Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
por: Ma, Ruiqi, et al.
Publicado: (2025)
por: Ma, Ruiqi, et al.
Publicado: (2025)
CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
por: Li, Qiming, et al.
Publicado: (2025)
por: Li, Qiming, et al.
Publicado: (2025)
Mitigating Object Hallucinations via Sentence-Level Early Intervention
por: Peng, Shangpin, et al.
Publicado: (2025)
por: Peng, Shangpin, et al.
Publicado: (2025)
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
por: An, Wenbin, et al.
Publicado: (2024)
por: An, Wenbin, et al.
Publicado: (2024)
Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images
por: You, Liangliang, et al.
Publicado: (2025)
por: You, Liangliang, et al.
Publicado: (2025)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
por: Lu, Yifan, et al.
Publicado: (2025)
por: Lu, Yifan, et al.
Publicado: (2025)
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
por: Duan, Jinhao, et al.
Publicado: (2025)
por: Duan, Jinhao, et al.
Publicado: (2025)
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
por: Zhu, Younan, et al.
Publicado: (2025)
por: Zhu, Younan, et al.
Publicado: (2025)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
por: Woo, Sangmin, et al.
Publicado: (2025)
por: Woo, Sangmin, et al.
Publicado: (2025)
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
por: Zhang, Chengsheng, et al.
Publicado: (2026)
por: Zhang, Chengsheng, et al.
Publicado: (2026)
Multi-Object Hallucination in Vision-Language Models
por: Chen, Xuweiyi, et al.
Publicado: (2024)
por: Chen, Xuweiyi, et al.
Publicado: (2024)
VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models
por: Neo, Dexter, et al.
Publicado: (2024)
por: Neo, Dexter, et al.
Publicado: (2024)
ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models
por: Wan, Zifu, et al.
Publicado: (2025)
por: Wan, Zifu, et al.
Publicado: (2025)
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models
por: Shang, Yuying, et al.
Publicado: (2024)
por: Shang, Yuying, et al.
Publicado: (2024)
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors
por: Ren, Lingfeng, et al.
Publicado: (2026)
por: Ren, Lingfeng, et al.
Publicado: (2026)
First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
por: Ha, Jiwoo, et al.
Publicado: (2026)
por: Ha, Jiwoo, et al.
Publicado: (2026)
Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
por: Oh, Hongseok, et al.
Publicado: (2025)
por: Oh, Hongseok, et al.
Publicado: (2025)
STEAR: Layer-Aware Spatiotemporal Evidence Intervention for Hallucination Mitigation in Video Large Language Models
por: Fan, Linfeng, et al.
Publicado: (2026)
por: Fan, Linfeng, et al.
Publicado: (2026)
What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
por: Xie, Ming-Kun, et al.
Publicado: (2025)
por: Xie, Ming-Kun, et al.
Publicado: (2025)
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
por: Li, Qiming, et al.
Publicado: (2025)
por: Li, Qiming, et al.
Publicado: (2025)
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
por: Yang, Le, et al.
Publicado: (2024)
por: Yang, Le, et al.
Publicado: (2024)
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
por: Wu, Junfei, et al.
Publicado: (2024)
por: Wu, Junfei, et al.
Publicado: (2024)
Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language Models
por: Song, Jiale, et al.
Publicado: (2026)
por: Song, Jiale, et al.
Publicado: (2026)
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
por: Lee, Jihoon, et al.
Publicado: (2025)
por: Lee, Jihoon, et al.
Publicado: (2025)
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
por: Liu, Yufang, et al.
Publicado: (2024)
por: Liu, Yufang, et al.
Publicado: (2024)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
por: Chang, Yue, et al.
Publicado: (2024)
por: Chang, Yue, et al.
Publicado: (2024)
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering
por: Li, Qiming, et al.
Publicado: (2026)
por: Li, Qiming, et al.
Publicado: (2026)
MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention Processing
por: Li, Chenxi, et al.
Publicado: (2025)
por: Li, Chenxi, et al.
Publicado: (2025)
Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive Decoding
por: Chen, Boqi, et al.
Publicado: (2026)
por: Chen, Boqi, et al.
Publicado: (2026)
Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models
por: Zhang, Zhenliang, et al.
Publicado: (2025)
por: Zhang, Zhenliang, et al.
Publicado: (2025)
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
por: Zheng, Kening, et al.
Publicado: (2024)
por: Zheng, Kening, et al.
Publicado: (2024)
Mitigating Image Captioning Hallucinations in Vision-Language Models
por: Zhao, Fei, et al.
Publicado: (2025)
por: Zhao, Fei, et al.
Publicado: (2025)
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
por: Li, Yifan, et al.
Publicado: (2025)
por: Li, Yifan, et al.
Publicado: (2025)
Ejemplares similares
-
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
por: Ye, Zekai, et al.
Publicado: (2025) -
Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution
por: Qin, Tian, et al.
Publicado: (2026) -
OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination
por: Chen, Junzhe, et al.
Publicado: (2025) -
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments
por: Chen, Junzhe, et al.
Publicado: (2024) -
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
por: Zhou, Yiyang, et al.
Publicado: (2023)