Context-Awakens at Touché: Generalizable Argument Identification with In-Context Learning
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TL;DR
Three instruction-tuned decoder models are evaluated in a cumulative context ladder and with input-manipulation diagnostics, finding the dataset-specific argument definition provides the largest performance gain and the system ranks first among submitted systems.