LeAdQA improves video question answering by using LLM-rewritten causal queries to drive temporal grounding that selects relevant video segments for the answering model.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering
LeAdQA improves video question answering by using LLM-rewritten causal queries to drive temporal grounding that selects relevant video segments for the answering model.