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README.md
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## Ressources
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- [*(Model) ModernBERT*](TODO): The Contextualized ModernBERT bi-encoder trained with InSENT loss and Late Chunking
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- [*(Model) ModernColBERT*](TODO): The Contextualized ModernColBERT trained with InSENT loss and Late Chunking
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- [*Leaderboard*](TODO): Coming Soon
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- [*(Data) ConTEB Benchmark Datasets*](TODO):
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- [*(Code) Contextual Document Engine*](https://github.com/illuin-tech/contextual-embeddings): The code used to train and run inference with our architecture.
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- [*(Code) ConTEB Benchmarkk*](https://github.com/illuin-tech/conteb): A Python package/CLI tool to evaluate document retrieval systems on the ConTEB benchmark.
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- [*Blog*](https://huggingface.co/XXX): TODO
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- [*Preprint*](https://arxiv.org/abs/2505.24782): The paper with all details !
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## Contact
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## Ressources
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- [*HuggingFace Project Page*](https://huggingface.co/illuin-conteb): The HF page centralizing everything!
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- [*(Model) ModernBERT*](TODO): The Contextualized ModernBERT bi-encoder trained with InSENT loss and Late Chunking
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- [*(Model) ModernColBERT*](TODO): The Contextualized ModernColBERT trained with InSENT loss and Late Chunking
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- [*Leaderboard*](TODO): Coming Soon
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- [*(Data) ConTEB Benchmark Datasets*](TODO):
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- [*(Code) Contextual Document Engine*](https://github.com/illuin-tech/contextual-embeddings): The code used to train and run inference with our architecture.
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- [*(Code) ConTEB Benchmarkk*](https://github.com/illuin-tech/conteb): A Python package/CLI tool to evaluate document retrieval systems on the ConTEB benchmark.
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- [*Preprint*](https://arxiv.org/abs/2505.24782): The paper with all details !
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- [*Blog*](https://huggingface.co/XXX): TODO
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## Contact
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