Update README.md

README.md

@@ -24,7 +24,7 @@ metrics:
 **GLiNER** is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoders (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios.
 
 
-**GLiNER-biomed**, developed in collaboration with [DS4DH](https://github.com/ds4dh) from the University of Geneva, introduces a specialized suite of efficient open biomedical NER models based on the GLiNER framework. GLiNER-biomed leverages synthetic annotations distilled from large generative biomedical language models to achieve state-of-the-art zero-shot and few-shot performance in biomedical entity recognition tasks.
+**GLiNER-biomed**, developed in collaboration with [DS4DH](https://www.unige.ch/medecine/radio/en/research-groups/1035teodoro) from the University of Geneva, introduces a specialized suite of efficient open biomedical NER models based on the GLiNER framework. GLiNER-biomed leverages synthetic annotations distilled from large generative biomedical language models to achieve state-of-the-art zero-shot and few-shot performance in biomedical entity recognition tasks.
 
 ### How to Use
 Install the official GLiNER library with pip:
@@ -92,16 +92,17 @@ We examined our models on 8 complex real-world datasets and compared them with o
 | [GLiNER v2.1](https://huggingface.co/urchade/gliner_medium-v2.1)        	| 40.25	| 25.26      	| 14.41        	| 32.64   	|
 | [GLiNER news v2.1](https://huggingface.co/EmergentMethods/gliner_medium_news-v2.1)   	| 41.59	| 27.16      	| 17.74        	| 34.44   	|
 | [GLiNER v2.5](https://huggingface.co/gliner-community/gliner_base-v2.5)        	| 46.49	| 30.93      	| 25.26        	| 44.68   	|
-| **[GLiNER-biomed](https://huggingface.co/Ihor/gliner-biomed-base-v1.0)**  	| **54.37**| **36.20**  	| **41.61**    	| **53.05**   |
-| **[GLiNER-biomed-bi](https://huggingface.co/Ihor/gliner-biomed-bi-base-v1.0)**   	| 58.31	| 35.22      	| 32.39        	| 54.91   	|
+| **[GLiNER-biomed](https://huggingface.co/Ihor/gliner-biomed-base-v1.0)**  	| 54.37| **36.20**  	| **41.61**    	| 53.05   |
+| **[GLiNER-biomed-bi](https://huggingface.co/Ihor/gliner-biomed-bi-base-v1.0)**   	| **58.31**	| 35.22      	| 32.39        	| **54.91**   	|
 | **Small models**   	|      	|            	|              	|         	|
 | [GLiNER v1.0](https://huggingface.co/urchade/gliner_small-v1)        	| 40.99	| 22.81      	| 7.86         	| 31.15   	|
 | [GLiNER v2.0](https://huggingface.co/urchade/gliner_small-v2)        	| 33.55	| 21.12      	| 15.76        	| 28.78   	|
 | [GLiNER v2.1](https://huggingface.co/urchade/gliner_small-v2.1)        	| 38.45	| 23.25      	| 10.92        	| 30.67   	|
 | [GLiNER news v2.1](https://huggingface.co/EmergentMethods/gliner_small_news-v2.1)   	| 39.15	| 24.96      	| 14.48        	| 33.10   	|
 | [GLiNER v2.5](https://huggingface.co/gliner-community/gliner_small-v2.5)        	| 38.21	| 28.53      	| 18.01        	| 36.88   	|
-| **[GLiNER-biomed](https://huggingface.co/Ihor/gliner-biomed-small-v1.0)**  	| **52.53**| **34.49**  	| **38.17**    	| **50.87**   |
-| **[GLiNER-biomed-bi](https://huggingface.co/Ihor/gliner-biomed-bi-small-v1.0)**   	| 56.93	| 33.88      	| 33.61        	| 53.12   	|
+| **[GLiNER-biomed](https://huggingface.co/Ihor/gliner-biomed-small-v1.0)**  	| 52.53| **34.49**  	| **38.17**    	| 50.87   |
+| **[GLiNER-biomed-bi](https://huggingface.co/Ihor/gliner-biomed-bi-small-v1.0)**   	| **56.93**	| 33.88      	| 33.61        	| **53.12**   	|
+
 
 
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