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# LVSum: A Benchmark for Timestamp-Aware Long Video Summarization

**[Apple Machine Learning Research](https://daily.dev/sources/mlapple)** · 1 min read · 0 upvotes · 0 comments

## Summary

LVSum is a new human-annotated benchmark for evaluating long-form video summarization with temporal alignment. It includes 72 diverse videos across 13 domains, averaging 16 minutes each, annotated with up to 10 human-generated summaries containing temporal references. Evaluation of leading MLLMs reveals that transcripts contribute far more to summarization quality than visual frames alone, a significant gap remains between model and human summaries, and current models show systematic weaknesses in temporal grounding, instruction adherence, and cross-modal coherence.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://machinelearning.apple.com/research/lvsum-video-summarization>

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