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Object Hallucination

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Showing 51–71 of 71 papers

TitleStatusHype
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities—0
Simple Token-Level Confidence Improves Caption Correctness—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens—0
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation—0
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting—0
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models—0
KNVQA: A Benchmark for evaluation knowledge-based VQA—0
``I've Seen Things You People Wouldn't Believe'': Hallucinating Entities in GuessWhat?!—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Visual Instruction Bottleneck Tuning—0
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance—0
Deep Learning Approaches on Image Captioning: A Review—0
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration—0
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination—0
Data-augmented phrase-level alignment for mitigating object hallucination—0
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
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