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papersSEP 12 04:00 UTC

Aslema System Enters NADI 2026 Shared Task on Intent Recognition and Slot Filling

A paper describes Aslema, a system submitted to the NADI 2026 Shared Task 5, which covers intent recognition and slot filling. The authors benchmark four omni LLMs in a zero-shot setting against fine-tuned alternatives. Reported results indicate that fine-tuned models hold an advantage for these tasks.

arxiv/nlp/benchmark/fine-tuning