SEASON: Addressing Temporal Hallucinations in Video LLMs with Self-Diagnosis

This research from ArXiv focuses on improving video large language models by tackling temporal hallucinations, a crucial aspect for reliable video understanding. The self-diagnostic contrastive decoding approach suggests a novel and potentially effective method for enhancing the accuracy of video LLMs.

• •Addresses the problem of temporal hallucinations in video understanding.
• •Introduces a self-diagnostic contrastive decoding method.
• •The research is published on ArXiv, indicating early stage development.