SEASON: Addressing Temporal Hallucinations in Video LLMs with Self-Diagnosis
Published:Dec 4, 2025 10:17
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The research aims to mitigate temporal hallucination in Video Large Language Models.”