Video LLM benchmark scores are inflated by language-prior and static-frame questions; VBenchComp separates those from true temporal questions and shows a trimmed core subset preserves rankings.
Egoschema: A diagnostic benchmark for very long-form video language understanding.NeurIPS, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?
Video LLM benchmark scores are inflated by language-prior and static-frame questions; VBenchComp separates those from true temporal questions and shows a trimmed core subset preserves rankings.