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Financial QA with Multi-Retriever RAG by Mauri Junior is a document available to read on EtoBox.

This research presents a multi-retriever Retrieval Augmented Generators (RAG) system aimed at improving financial numerical reasoning Question Answering (QA) by integrating domain knowledge. The study demonstrates that domain-specific training significantly enhances model performance, surpassing existing benchmarks, although it still falls short of human expert accuracy. Key findings include the effectiveness of combining internal and external retrieval mechanisms and the trade-offs between hallucination lo

Author

Mauri Junior

Language

EN