Cover Image

Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jinlin, Wang, Yuran, Yuan, Yifei, Zhou, Xiao, Zhang, Yingying, Yong, Xixian, Zheng, Yefeng, Wu, Xian
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
by: Yong, Xixian, et al.
Published: (2025)

CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs
by: Kan, Zhehan, et al.
Published: (2024)

Mitigating Hallucination in Multimodal LLMs with Layer Contrastive Decoding
by: Tong, Bingkui, et al.
Published: (2025)

Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation
by: Liu, Hong, et al.
Published: (2026)

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
by: Yong, Xixian, et al.
Published: (2024)

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
by: Cho, Yeongjae, et al.
Published: (2025)

SAGE: Sink-Aware Grounded Decoding for Multimodal Hallucination Mitigation
by: Shukla, Tripti, et al.
Published: (2026)

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
by: Wang, Jiaqi, et al.
Published: (2024)

Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
by: He, Zhentao, et al.
Published: (2025)

Reusing Fusion-Time Spectral Reliability for Adaptive Fusion and Expert Routing in RGB-Infrared Object Detection
by: Wu, Yefeng
Published: (2026)

Energy-Guided Decoding for Object Hallucination Mitigation
by: Liu, Xixi, et al.
Published: (2025)

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction
by: Wang, Chao, et al.
Published: (2025)

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
by: Chen, Xinlong, et al.
Published: (2025)

ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
by: Park, Yeji, et al.
Published: (2024)

Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding
by: Liang, Xiaoyu, et al.
Published: (2024)

Single Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement
by: Jiang, Jia-Xuan, et al.
Published: (2025)

Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation
by: Gu, Jihao, et al.
Published: (2024)

Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation
by: Zhu, Xingyu, et al.
Published: (2026)

VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification
by: Zhuang, Xianwei, et al.
Published: (2025)

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder
by: Wang, Jingchao, et al.
Published: (2025)

Tracing and Mitigating Hallucinations in Multimodal LLMs via Dynamic Attention Localization
by: Yang, Tiancheng, et al.
Published: (2025)

SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
by: Park, Woohyeon, et al.
Published: (2025)

Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation
by: Wu, Yebo, et al.
Published: (2026)

Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions
by: Chen, Lin, et al.
Published: (2026)

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
by: Chen, Zhaorun, et al.
Published: (2024)

Mitigating Multimodal Hallucination via Phase-wise Self-reward
by: Zhang, Yu, et al.
Published: (2026)

Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection
by: Wang, Shan, et al.
Published: (2025)

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
by: Zheng, Haojie, et al.
Published: (2024)

HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
by: Yuan, Fan, et al.
Published: (2024)

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
by: Yin, Jianghao, et al.
Published: (2026)

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
by: Zhou, Guanyu, et al.
Published: (2024)

Understanding and Mitigating Hallucinations in Multimodal Chain-of-Thought Models
by: Ma, Ji, et al.
Published: (2026)

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
by: Jia, Sihang, et al.
Published: (2026)

Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond
by: Zhang, Fan, et al.
Published: (2025)

MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
by: Jiang, Yue, et al.
Published: (2026)

Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs
by: Liang, Xiao, et al.
Published: (2025)

HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token
by: Kogilathota, Sai Akhil, et al.
Published: (2026)

Mitigating Hallucinations in Video Large Language Models via Spatiotemporal-Semantic Contrastive Decoding
by: Gao, Yuansheng, et al.
Published: (2026)

SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding
by: Li, Zhaoxu, et al.
Published: (2026)