arXiv cs.CV
· Papers
EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection
arXiv:2607.00867v2 Announce Type: replace Abstract: Long-video reasoning is fundamentally constrained by how models acquire and utilize visual evidence. Existing tool-augmented video frameworks often interleave temporal grounding and answer reasoning within a single trajectory, causing early semantic hypotheses to bias