UniME-R1-2B

Papers using or citing this model 1

• Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval · 2026 · arXiv

  Unified multimodal retrieval aims to identify candidates that satisfy complex user intent expressed through heterogeneous inputs. Although Large Vision-Language Model (LVLM)-based retrievers are efficient and scalable, directly encoding...