arXiv Machine Learning By Hyeonjeong Ha, Jinjin Ge, Bo Feng, Kaixin Ma, Gargi Chakraborty

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding

Read the original on arXiv Machine Learning →

arXiv:2601. 01095v3 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) have achieved impressive progress in vision-language reasoning, yet their ability to understand temporally unfolding narratives in videos remains underexplored.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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