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evalllm2026-mesh-finetuned – AI Model by rarmingaud | AlphaNeural AI
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evalllm2026-mesh-finetuned
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sentence-transformers
safetensors
xlm-roberta
evalllm2026
sentence-similarity
fr
en
BAAI/bge-m3
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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cea-list-ia/evalllm2026-mesh-finetuned
This model was trained by the CEA-LIST to participate in the
evalLLM2026 challenge
.
Model Description
Trained by:
CEA-LIST
Task:
Entity Linking (MeSH)
Type:
Retriever (Embedding Model)
Training Data:
Wikipedia, further trained on the training data of the challenge.
This retriever is an embedding model designed to find the closest matches in MeSH for entity linking.
Usage
Query Prefix
To use this model, you should prompt it with the following query prefix:
Represent this medical sentence for retrieving relevant MeSH terms:
More Information
For more details, please refer to the
GitHub repository
.