HAVEN provides a hierarchically aligned multimodal dataset and evaluation suite for video summarization, temporal reasoning, grounding, and saliency in MLLMs.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
LVSum is a new benchmark for timestamp-aware long video summarization that exposes systematic temporal gaps in existing multimodal large language models.
citing papers explorer
-
HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding
HAVEN provides a hierarchically aligned multimodal dataset and evaluation suite for video summarization, temporal reasoning, grounding, and saliency in MLLMs.
-
LVSum: A Benchmark for Timestamp-Aware Long Video Summarization
LVSum is a new benchmark for timestamp-aware long video summarization that exposes systematic temporal gaps in existing multimodal large language models.