Gradually Excavating External Knowledge for Implicit Complex Question Answering
Gradually Excavating External Knowledge for Implicit Complex Question Answering explores A framework for open-domain complex question answering that iteratively acquires external information and reasons based on historical knowledge, achieving SOTA results with smaller models.. Commercial viability score: 8/10 in Question Answering.
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