The authors propose LLMPIA, a few-shot Urdu intent detection pipeline combining contrastive retraining and prototype-informed attention, and report high F1 scores on ATIS and Web Queries.
Benchmarking performance of machine and deep learning-based methodologies for urdu text document classifica- tion
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Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
The authors propose LLMPIA, a few-shot Urdu intent detection pipeline combining contrastive retraining and prototype-informed attention, and report high F1 scores on ATIS and Web Queries.