
SNIFFER is a novel multimodal large language model specifically engineered for out-of-context misinformation detection and explanation, surpassing state-of-the-art methods in accuracy and providing precise explanations.


coremsg

Analyzing-Out-of-Context-Misinformation-Detection-with-SNIFFER


Analyzing Out-of-Context Misinformation Detection with SNIFFER


title_rewrite


Using synthetic data generation for Out-Of-Context detection improves accuracy and reliability in identifying misinformation.


detection-of-out-of-context-misinformation-using-synthetic-multimodal-data


Detection of Out-Of-Context Misinformation Using Synthetic Multimodal Data



Multimodal large language model SNIFFER detects and explains out-of-context misinformation effectively.


sniffer-multimodal-large-language-model-for-out-of-context-misinformation-detection


SNIFFER: Multimodal Large Language Model for Out-of-Context Misinformation Detection



SNIFFER is a novel multimodal large language model specifically engineered for detecting and explaining out-of-context misinformation.
