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Reusing reasoning from previous queries can boost multi-hop QA accuracy while cutting down on token usage, transforming how we approach graph-based retrieval systems.
Achieving over 20% performance gains under low sampling ratios, FACT redefines the landscape of active finetuning for pretrained models.