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洞見 - Retrieval Augmented Generation (RAG) for Question Answering
MARAGS: A Multi-Adapter Retrieval Augmented Generation System for Question Answering (2nd Place in KDD Cup 2024, Task 1)
This paper introduces MARAGS, a multi-adapter retrieval augmented generation system that effectively addresses the challenges of multi-task question answering, achieving competitive results in the KDD Cup 2024 CRAG competition.
利用檢索增強生成模型的領域適應性來改進問答系統並減少幻覺現象
領域適應性對於檢索增強生成模型在特定領域問答系統中的效能至關重要，可以顯著提高準確性並減少幻覺現象的發生。
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