---
license: apache-2.0
language:
- fr
- en
base_model:
- BAAI/bge-m3
pipeline_tag: text-ranking
library_name: sentence-transformers
tags:
- evalllm2026
- sentence-transformers
- cross-encoder
- reranker
- loss:LambdaLoss
---
# cea-list-ia/evalllm2026-reranker-mesh-finetuned

This model was trained by the CEA-LIST to participate in the [evalLLM2026 challenge](https://github.com/cea-list-lasti/evalllm2026-distrib).

## Model Description
- **Trained by:** CEA-LIST
- **Task:** Entity Linking (MeSH)
- **Type:** Reranker (Cross-Encoder)
- **Training Data:** Wikipedia, further trained on the training data of the challenge.

This reranker is a cross-encoder designed to improve the candidates selected by an embedding model.

## 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](https://github.com/cea-list-lasti/evalllm2026-distrib).