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MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

Yuchi Wang, Haiyang Yu, Weikang Bian, Jiefeng Long, Xiao Liang, Chao Feng · Apr 7, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% Moderate protocol signal Freshness: Warm Status: Ready
Pairwise Preference Automatic Metrics General
  • Experiments on the MMEB-V2 benchmark demonstrate that our model achieves a score of 71.2 with only 4B parameters, establishing a new state-of-the-art while significantly reducing reasoning overhead and inference latency.
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