ReCoVR introduces a reflexive dual-pathway architecture for interactive composed video retrieval that outperforms baselines by combining intent routing with trajectory-level reflection on retrieval history.
Qwen3-vl-embedding and qwen3-vl-reranker: A unified framework for state-of-the-art multimodal retrieval and ranking.arXiv
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
method 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SARA improves text alignment and motion quality in video diffusion models by routing token-relation distillation supervision to semantically salient pairs using a Stage-1 aligner trained with SAM masks and InfoNCE.
citing papers explorer
-
ReCoVR: Closing the Loop in Interactive Composed Video Retrieval
ReCoVR introduces a reflexive dual-pathway architecture for interactive composed video retrieval that outperforms baselines by combining intent routing with trajectory-level reflection on retrieval history.
-
SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models
SARA improves text alignment and motion quality in video diffusion models by routing token-relation distillation supervision to semantically salient pairs using a Stage-1 aligner trained with SAM masks and InfoNCE.