A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs

Aligning the behaviors of Multimodal Large Language Models (MLLMs) with human preferences is crucial for developing robust and trustworthy AI systems. While recent attempts have employed human experts or powerful auxiliary AI systems to provide more accurate preference feedback, such as determining...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	He, Lehan, Chen, Zeren, Shi, Zhelun, Yu, Tianyu, Shao, Jing, Sheng, Lu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!