Many contrastive training strategies for multimodal embeddings add little value

A controlled study on the MMEB benchmark reveals that most sophisticated techniques yield marginal gains over a simple baseline, while a combination of three specific strategies delivers a 6% improvement.

Chinese Tech
Duo Li · Haojun Pan · Zuhao Yang · Xintong Wang · Chengfu Huo · Shijian Lu · +1 more

Nanyang Technological University · Alibaba Group · Universität Hamburg · Sichuan University

Research Digest··2 min read
Li et al.

5-2B models.

Why this paper

From Alibaba Group and 3 others

In one line

Most contrastive strategies yield marginal gains; combining hard-negative mining, false-negative mitigation, and hard-batch construction works best.

What we could check

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