Update README.md

README.md

@@ -245,7 +245,7 @@ We highlight (= bold) the best bi-encoder and best late retriever for each langu
 
 | Model | Type | AVG | ar | de | en | es | fr | it | ja | ko | no | pt | sv |
 | --- | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
-| Alibaba-NLP/gte-multilingual-base | bienc | 0.675 | 0.567 | 0.692 | 0.741 | 0.705 | 0.703 | 0.697 | 0.655 | 0.563 | 0.698 | 0.700 | 0.699 |
+| Alibaba-NLP/gte-multilingual-base | bienc | 0.675 | 0.567 | 0.692 | 0.741 | 0.705 | 0.703 | 0.697 | 0.655 | 0.563 | **0.698** | 0.700 | 0.699 |
 | Alibaba-NLP/gte-modernbert-base | bienc | 0.295 | 0.060 | 0.333 | 0.736 | 0.273 | 0.417 | 0.291 | 0.100 | 0.052 | 0.332 | 0.326 | 0.330 |
 | lightonai/LateOn | colbert | 0.454 | 0.157 | 0.492 | **0.755** | 0.537 | 0.577 | 0.481 | 0.316 | 0.209 | 0.472 | 0.502 | 0.501 |
 | lightonai/DenseOn | bienc | 0.435 | 0.165 | 0.482 | **0.751** | 0.491 | 0.553 | 0.457 | 0.325 | 0.222 | 0.438 | 0.443 | 0.453 |
@@ -254,7 +254,7 @@ We highlight (= bold) the best bi-encoder and best late retriever for each langu
 | BAAI/bge-large-en-v1.5 | bienc | 0.413 | 0.133 | 0.471 | 0.748 | 0.450 | 0.531 | 0.461 | 0.208 | 0.172 | 0.456 | 0.443 | 0.467 |
 | LiquidAI/LFM2-ColBERT-350M | colbert | 0.646 | 0.554 | 0.696 | 0.754 | 0.711 | 0.710 | 0.667 | 0.658 | 0.558 | 0.541 | 0.669 | 0.589 |
 | **LiquidAI/LFM2.5-ColBERT-350M** | colbert | **0.694** | 0.608 | **0.709** | 0.748 | **0.711** | **0.715** | **0.707** | **0.703** | **0.640** | **0.689** | **0.703** | **0.700** |
-| **LiquidAI/LFM2.5-Embedding-350M** | bienc | **0.691** | **0.610** | **0.709** | 0.738 | **0.708** | **0.715** | **0.703** | **0.685** | **0.630** | **0.691** | **0.710** | **0.708** |
+| **LiquidAI/LFM2.5-Embedding-350M** | bienc | **0.691** | **0.610** | **0.709** | 0.738 | **0.708** | **0.715** | **0.703** | **0.685** | **0.630** | 0.691 | **0.710** | **0.708** |
 
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