Label-Centric Knowledge Retrieval for Zero-Shot Text Classification
Boundary ablations show that retrieving a small set of input-relevant rules preserves performance close to using all boundaries with substantially less context, supporting efficient reuse of flagship-generated label knowledge for lightweight classification.
Dao-Ping Wu, Dong Wang, Si-Yu Liu et al.
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