Retraining policy for forward test: one-shot only (no retraining inside the 20% window). Freeze model, hyperparameters, and thresholds before touching the 20% block. Run a single final evaluation on ...
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
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