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README.md
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@@ -254,6 +254,10 @@ We evaluate LCO-Embedding with state-of-the-art embedding models, including E5-V
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<div align='center'><img src="https://cdn-uploads.huggingface.co/production/uploads/63108cc834c7d77420b0fd68/63WBsKh57HbNwwe3bZ-oZ.png" alt="mieb_lite" width="100%"/></div>
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Performance and efficiency comparisons of different training strategies using 3B and 7B variants of Qwen2.5-VL backbones.
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<div align='center'><img src="https://github.com/LCO-Embedding/LCO-Embedding/raw/main/assets/lora_ablation.png" alt="lora_ablation" width="100%"/></div>
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<div align='center'><img src="https://cdn-uploads.huggingface.co/production/uploads/63108cc834c7d77420b0fd68/63WBsKh57HbNwwe3bZ-oZ.png" alt="mieb_lite" width="100%"/></div>
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LCO-Embedding is also SOTA on MAEB (massive audio embedding benchmark) without even training on audio. Screenshot from the MAEB paper.
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Performance and efficiency comparisons of different training strategies using 3B and 7B variants of Qwen2.5-VL backbones.
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<div align='center'><img src="https://github.com/LCO-Embedding/LCO-Embedding/raw/main/assets/lora_ablation.png" alt="lora_ablation" width="100%"/></div>
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