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Mitigating Multimodal Hallucinations Via Uncertainty-Aware Adaptive Decoding

https://doi.org/10.2139/ssrn.5404834
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Towards Unique and Informative Captioning of Images
inferredcites →https://doi.org/10.1007/978-3-031-53302-0_3openalex-snapshot
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites
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Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
inferredcites →https://doi.org/10.1109/access.2024.3393548openalex-snapshot
Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI, and MTD Approaches to Security Solutions
inferredcites →https://doi.org/10.1109/cvpr52733.2024.00914openalex-snapshot
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01316openalex-snapshot
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01356openalex-snapshot
Multi-Modal Hallucination Control by Visual Information Grounding
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01361openalex-snapshot
Composing Object Relations and Attributes for Image-Text Matching
inferredcites →https://doi.org/10.1109/cvpr52733.2024.02283openalex-snapshot
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
inferredcites →https://doi.org/10.1109/cvpr52733.2024.02553openalex-snapshot
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
inferredcites →https://doi.org/10.1109/cvpr52733.2024.02644openalex-snapshot
VCoder: Versatile Vision Encoders for Multimodal Large Language Models
inferredcites →https://doi.org/10.1109/cvpr52734.2025.01363openalex-snapshot
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models
inferredcites →https://doi.org/10.1109/cvpr52734.2025.01365openalex-snapshot
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
inferredcites →https://doi.org/10.1109/cvpr52734.2025.02783openalex-snapshot
Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
inferredcites →https://doi.org/10.1109/tmi.2020.2996645openalex-snapshot
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
inferredcites →https://doi.org/10.1145/3560815openalex-snapshot
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.1145/3711680openalex-snapshot
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
inferredcites →https://doi.org/10.1155/2020/3062706openalex-snapshot
An Overview of Image Caption Generation Methods
inferredcites →https://doi.org/10.13140/rg.2.2.27797.13280openalex-snapshot
Hallucination of Multimodal Large Language Models: A Survey
inferredcites →https://doi.org/10.13140/rg.2.2.32487.42402openalex-snapshot
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
inferredcites →https://doi.org/10.1609/aaai.v38i16.29771openalex-snapshot
Detecting and Preventing Hallucinations in Large Vision Language Models
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.687openalex-snapshot
Contrastive Decoding: Open-ended Text Generation as Optimization
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.20openalex-snapshot
Evaluating Object Hallucination in Large Vision-Language Models
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.633openalex-snapshot
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.489openalex-snapshot
A Thorough Examination of Decoding Methods in the Era of LLMs
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.359openalex-snapshot
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.937openalex-snapshot
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
inferredcites →https://doi.org/10.18653/v1/2025.findings-acl.99openalex-snapshot
Don’t Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
inferredcites →https://doi.org/10.18653/v1/d18-1437openalex-snapshot
Object Hallucination in Image Captioning
inferredcites →https://doi.org/10.18653/v1/p18-1082openalex-snapshot
Hierarchical Neural Story Generation
inferredcites →https://doi.org/10.18653/v1/w17-3207openalex-snapshot
Beam Search Strategies for Neural Machine Translation
inferredcites →https://doi.org/10.24963/ijcai.2025/123openalex-snapshot
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1811.08264openalex-snapshot
Transferable Interactiveness Knowledge for Human-Object Interaction Detection
inferredcites →https://doi.org/10.48550/arxiv.1904.09751openalex-snapshot
The Curious Case of Neural Text Degeneration
inferredcites →https://doi.org/10.48550/arxiv.2002.11848openalex-snapshot
Analysis of diversity-accuracy tradeoff in image captioning
inferredcites →https://doi.org/10.48550/arxiv.2204.14198openalex-snapshot
Flamingo: a Visual Language Model for Few-Shot Learning
inferredcites →https://doi.org/10.48550/arxiv.2301.12597openalex-snapshot
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2302.13971openalex-snapshot
LLaMA: Open and Efficient Foundation Language Models
inferredcites →https://doi.org/10.48550/arxiv.2304.08485openalex-snapshot
Visual Instruction Tuning
inferredcites →https://doi.org/10.48550/arxiv.2304.10592openalex-snapshot
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2305.06500openalex-snapshot
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
inferredcites →https://doi.org/10.48550/arxiv.2309.09117openalex-snapshot
Contrastive Decoding Improves Reasoning in Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2311.07397openalex-snapshot
AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
inferredcites →https://doi.org/10.48550/arxiv.2401.11817openalex-snapshot
Hallucination is Inevitable: An Innate Limitation of Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2402.00253openalex-snapshot
A Survey on Hallucination in Large Vision-Language Models
inferredcites →https://doi.org/10.48550/arxiv.2408.17150openalex-snapshot
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
inferredcites →https://doi.org/10.48550/arxiv.2411.09968openalex-snapshot
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs
inferredcites →https://doi.org/10.48550/arxiv.2502.01056openalex-snapshot
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
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