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Object Hallucination

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Showing 51–71 of 71 papers

TitleStatusHype
Understanding Multimodal Hallucination with Parameter-Free Representation AlignmentCode0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
Data-augmented phrase-level alignment for mitigating object hallucination—0
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models—0
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language TasksCode0
ALOHa: A New Measure for Hallucination in Captioning Models—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation—0
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance—0
Instruction Makes a DifferenceCode0
KNVQA: A Benchmark for evaluation knowledge-based VQA—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
Simple Token-Level Confidence Improves Caption Correctness—0
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-trainingCode0
Deep Learning Approaches on Image Captioning: A Review—0
Consensus Graph Representation Learning for Better Grounded Image Captioning—0
Relational Graph Learning for Grounded Video Description Generation—0
``I've Seen Things You People Wouldn't Believe'': Hallucinating Entities in GuessWhat?!—0
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning ModelsCode0
Object Hallucination in Image CaptioningCode0
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