A multi-product RAG framework multiplies domain and passage relevance scores with a stochastic gate and reports gains over baselines on new Adobe QA data.
In Findings of the Association for Computational Lin- guistics: EMNLP 2020 , pages 2768–2773, Online
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Federated Retrieval Augmented Generation for Multi-Product Question Answering
A multi-product RAG framework multiplies domain and passage relevance scores with a stochastic gate and reports gains over baselines on new Adobe QA data.