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llm-adaptation

topic1 events
papersSEP 12 04:00 UTC

Study compares LLM adaptation methods for hate speech detection in Roman Urdu

A revised arXiv paper examines how large language models can be adapted to detect hate speech in Roman Urdu, a low-resource language written in Latin script. The authors compare several adaptation approaches, addressing challenges such as scarce annotated data, informal writing conventions, and the lack of standardized grammar. The work focuses on efficient methods suited to settings where labeled corpora are limited.

low-resource/hate-speech/fine-tuning/nlp