AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM
Fuente:
arXiv
Saved in:
| Main Authors: | Zhong, Li'an, He, Ziqiang, Zheng, Jibin, Li, Jin, Wang, Z. Jane, Kang, Xiangui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
Cross-Modal Attention Calibration for LVLM Hallucination Mitigation
by: Li, Jiaming, et al.
Published: (2025)
by: Li, Jiaming, et al.
Published: (2025)
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
by: Gong, Xuan, et al.
Published: (2024)
by: Gong, Xuan, et al.
Published: (2024)
AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
by: Wang, Tianbo, et al.
Published: (2026)
by: Wang, Tianbo, et al.
Published: (2026)
ACT Now: Preempting LVLM Hallucinations via Adaptive Context Integration
by: Yan, Bei, et al.
Published: (2026)
by: Yan, Bei, et al.
Published: (2026)
AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation
by: Tan, Haoyue, et al.
Published: (2026)
by: Tan, Haoyue, et al.
Published: (2026)
Fighting Hallucinations with Counterfactuals: Diffusion-Guided Perturbations for LVLM Hallucination Suppression
by: Dastmalchi, Hamidreza, et al.
Published: (2026)
by: Dastmalchi, Hamidreza, et al.
Published: (2026)
Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
by: Mao, Jiawei, et al.
Published: (2026)
by: Mao, Jiawei, et al.
Published: (2026)
Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation
by: Cheng, Ruoxi, et al.
Published: (2026)
by: Cheng, Ruoxi, et al.
Published: (2026)
Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
by: Liu, Shi, et al.
Published: (2024)
by: Liu, Shi, et al.
Published: (2024)
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
by: Qian, Jiaye, et al.
Published: (2025)
by: Qian, Jiaye, et al.
Published: (2025)
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
by: Wu, Yuanchen, et al.
Published: (2025)
by: Wu, Yuanchen, et al.
Published: (2025)
GM-DF: Generalized Multi-Scenario Deepfake Detection
by: Lai, Yingxin, et al.
Published: (2024)
by: Lai, Yingxin, et al.
Published: (2024)
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
by: Hwang, Yerin, et al.
Published: (2025)
by: Hwang, Yerin, et al.
Published: (2025)
SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense
by: Huang, Yiyang, et al.
Published: (2025)
by: Huang, Yiyang, et al.
Published: (2025)
Dual Frequency Branch Framework with Reconstructed Sliding Windows Attention for AI-Generated Image Detection
by: Yan, Jiazhen, et al.
Published: (2025)
by: Yan, Jiazhen, et al.
Published: (2025)
Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
by: Luo, Anwei, et al.
Published: (2023)
by: Luo, Anwei, et al.
Published: (2023)
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
by: Li, Jin, et al.
Published: (2024)
by: Li, Jin, et al.
Published: (2024)
Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations
by: Nguyen, Tuan Dung, et al.
Published: (2026)
by: Nguyen, Tuan Dung, et al.
Published: (2026)
AdaEraser: Training-Free Object Removal via Adaptive Attention Suppression
by: Liu, Dingming
Published: (2026)
by: Liu, Dingming
Published: (2026)
LAVID: An Agentic LVLM Framework for Diffusion-Generated Video Detection
by: Liu, Qingyuan, et al.
Published: (2025)
by: Liu, Qingyuan, et al.
Published: (2025)
AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding
by: Li, Handong, et al.
Published: (2026)
by: Li, Handong, et al.
Published: (2026)
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs
by: Zhang, Xiaofeng, et al.
Published: (2024)
by: Zhang, Xiaofeng, et al.
Published: (2024)
Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM
by: Li, Shen, et al.
Published: (2025)
by: Li, Shen, et al.
Published: (2025)
LVLM-Composer's Explicit Planning for Image Generation
by: Ramsey, Spencer, et al.
Published: (2025)
by: Ramsey, Spencer, et al.
Published: (2025)
Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination
by: Shi, Ziqiang, et al.
Published: (2026)
by: Shi, Ziqiang, et al.
Published: (2026)
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?
by: Feng, Mingqian, et al.
Published: (2024)
by: Feng, Mingqian, et al.
Published: (2024)
Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation
by: Wu, Yebo, et al.
Published: (2026)
by: Wu, Yebo, et al.
Published: (2026)
ASAP: Attention-Shift-Aware Pruning for Efficient LVLM Inference
by: Pathak, Surendra, et al.
Published: (2026)
by: Pathak, Surendra, et al.
Published: (2026)
ViT-AdaLA: Adapting Vision Transformers with Linear Attention
by: Li, Yifan, et al.
Published: (2026)
by: Li, Yifan, et al.
Published: (2026)
AdaGen: Learning Adaptive Policy for Image Synthesis
by: Ni, Zanlin, et al.
Published: (2026)
by: Ni, Zanlin, et al.
Published: (2026)
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
by: Lyu, Xinyu, et al.
Published: (2024)
by: Lyu, Xinyu, et al.
Published: (2024)
AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection
by: Zhang, Shuheng, et al.
Published: (2025)
by: Zhang, Shuheng, et al.
Published: (2025)
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation
by: Oorloff, Trevine, et al.
Published: (2025)
by: Oorloff, Trevine, et al.
Published: (2025)
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
by: Wu, Zhuguanyu, et al.
Published: (2024)
by: Wu, Zhuguanyu, et al.
Published: (2024)
Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling
by: Li, Zida, et al.
Published: (2026)
by: Li, Zida, et al.
Published: (2026)
AdaEdit: Adaptive Temporal and Channel Modulation for Flow-Based Image Editing
by: Li, Guandong, et al.
Published: (2026)
by: Li, Guandong, et al.
Published: (2026)
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
by: Huo, Fushuo, et al.
Published: (2024)
by: Huo, Fushuo, et al.
Published: (2024)
PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention
by: Mei, Hefei, et al.
Published: (2026)
by: Mei, Hefei, et al.
Published: (2026)
MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
by: Deng, Jingyuan, et al.
Published: (2025)
by: Deng, Jingyuan, et al.
Published: (2025)
Similar Items
-
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
by: Li, Jin, et al.
Published: (2025) -
Cross-Modal Attention Calibration for LVLM Hallucination Mitigation
by: Li, Jiaming, et al.
Published: (2025) -
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
by: Gong, Xuan, et al.
Published: (2024) -
AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
by: Wang, Tianbo, et al.
Published: (2026) -
ACT Now: Preempting LVLM Hallucinations via Adaptive Context Integration
by: Yan, Bei, et al.
Published: (2026)