Identical video questions get different accuracy when placed at the start, middle, or end of a long context, and the new benchmark maps this bias across 27 video-language models.
Minigpt4-video: Advancing multimodal llms for video understanding with interleaved visual-textual tokens,
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Video-LevelGauge: Investigating Contextual Positional Bias in Large Video Language Models
Identical video questions get different accuracy when placed at the start, middle, or end of a long context, and the new benchmark maps this bias across 27 video-language models.