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Title: GitHub - NLPJCL/RAG-Retrieval: Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Open Graph Title: GitHub - NLPJCL/RAG-Retrieval: Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

X Title: GitHub - NLPJCL/RAG-Retrieval: Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Description: Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker. - NLPJCL/RAG-Retrieval

Open Graph Description: Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker. - NLPJCL/RAG-Retrieval

X Description: Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker. - NLPJCL/RAG-Retrieval

Opengraph URL: https://github.com/NLPJCL/RAG-Retrieval

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Jasper and Stella: distillation of SOTA embedding models	https://arxiv.org/abs/2412.19048
Best Practices for LLM in Reranker Tasks? A Simple Experiment Report (with code)	https://zhuanlan.zhihu.com/p/987727357
RAG-Retrieval: Making MRL Loss a Standard for Training Vector (Embedding) Models	https://zhuanlan.zhihu.com/p/701884479
RAG-Retrieval Implements LLM Preference-Based Supervised Fine-Tuning of the RAG Retriever	https://zhuanlan.zhihu.com/p/701215443
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MRL algorithm	https://arxiv.org/abs/2205.13147
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