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Official Repository for The Paper, Confident RAG: Enhancing the Reliability of LLMs for Mathematical Education through Multi-Embedding and Confidence Scoring

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Confident RAG

Article: “Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring" (under review)

1. Workflow

2. Data Preparation

python cropus_process.py --emb_model_list <emb model names>

3. How to Run

python interaction.py --emb_model_list <emb model names> --LLM_model <LLM model name>

4. Reference


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Official Repository for The Paper, Confident RAG: Enhancing the Reliability of LLMs for Mathematical Education through Multi-Embedding and Confidence Scoring

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