This work evaluates the efficiency and competitiveness of seven smaller, more accessible LLMs through zero-shot classification with structured instructions, leveraging the expert-annotated test dataset and annotation scheme of the kNOwHATE project to demonstrate a viable, competitive, and low-cost approach that does not rely on large-scale infrastructure or expensive proprietary models.
It is challenging to detect hate speech in Low Resource Languages (LRLs) because of the absence of annotated data, the informality of its language structure, and the lack of standardized grammar. A good example of such a challenge is Roman Urdu which is broadly used by South Asians on social media and has a high variat...
Toneema Zubair, Muhammad Asif, F. Kamiran et al.· 0 citations
Due to the widespread accessibility of the internet and social media, toxic and hateful con-tent has grown exponentially, causing significant distress and negative societal impacts. Ro-man Urdu, a low-resource language used in Pakistan and among Urdu-speaking communities worldwide, presents additional challenges becaus...
Ensuring online safety through content monitoring had raised Hate Speech Detection as a crucial task to be addressed. By essence the task demands the capture of contextual cues, which are essential for a precise understanding of the content's intent. Although automated detection approaches for the task have advanced si...
Itzel Tlelo-Coyotecatl, Hugo Jair Escalante· 0 citations
The findings indicate that IndoBERT+LoRA provides a promising and resource-efficient approach for multi-domain Indonesian hate and abusive speech classification, while stricter leave-one-domain-out evaluation remains an important direction for future work.
Fergie Joanda Kaunang, Bhustomy Hakim, A. P. Thenata· Jurnal Minfo Polgan· 0 citations
Comprehensive evaluations of automatic speech recognition (ASR) for Iberian languages remain limited, and low-resource languages, biases, and efficiency trade-offs are underexplored. We benchmark eleven systems, ten open-weight models and one commercial API, across five Iberian languages (Basque, Catalan, Galician, Por...
Fernando López, Pablo Gómez, David Solans et al.· 0 citations
