Researchers have identified a bias in Video Large Language Models (Video-LLMs) where they overly focus on a single "anchor frame" during generation, leading to hallucinations. To mitigate this issue, they propose Decoder-side Temporal Rebalancing (DTR), a training-free method that encourages models to consider more frames evenly, improving robustness against hallucinations without compromising video understanding performance or efficiency.
Read the full article at arXiv cs.CV (Vision)
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