NoiseBoost: Alleviating Hallucination with Noise Perturbation for
Multimodal Large Language Models
NoiseBoost: Alleviating Hallucination with Noise Perturbation for
Multimodal Large Language Models
Multimodal large language models (MLLMs) contribute a powerful mechanism to understanding visual information building on large language models. However, MLLMs are notorious for suffering from hallucinations, especially when generating lengthy, detailed descriptions for images. Our analysis reveals that hallucinations stem from the inherent summarization mechanism of large language models, leading …