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20212026
most citedBLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

5 citations · 20 across the 28 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024★ 1 cited

Multilingual and Explainable Text Detoxification with Parallel Corpora

Daryna Dementieva, Nikolay Babakov, Amit Ronen +11

Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital…

cs.CY2024★ 4 cited

Silenced voices: social media polarization and women's marginalization in peacebuilding during the Northern Ethiopia War

Adem Chanie Ali, Seid Muhie Yimam, Abinew Ali Ayele +2

This study examines the complex relationship between social media, polarization, and conflict, with a focus on digital peacebuilding and women's participation, using the Northern E…

cs.CL2024

Pruning Literals for Highly Efficient Explainability at Word Level

Rohan Kumar Yadav, Bimal Bhattarai, Abhik Jana +2

Designing an explainable model becomes crucial now for Natural Language Processing(NLP) since most of the state-of-the-art machine learning models provide a limited explanation for…

cs.CL2024

Hate Speech Detection and Classification in Amharic Text with Deep Learning

Samuel Minale Gashe, Seid Muhie Yimam, Yaregal Assabie

Hate speech is a growing problem on social media. It can seriously impact society, especially in countries like Ethiopia, where it can trigger conflicts among diverse ethnic and re…

cs.CL2024

Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management

Seid Muhie Yimam, Daryna Dementieva, Tim Fischer +8

Despite regulations imposed by nations and social media platforms, such as recent EU regulations targeting digital violence, abusive content persists as a significant challenge. Ex…

cs.CL2024★ 5 cited

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Junho Myung, Nayeon Lee, Yi Zhou +19

Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LL…

cs.CL2024

Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse

Abinew Ali Ayele, Esubalew Alemneh Jalew, Adem Chanie Ali +2

The prevalence of digital media and evolving sociopolitical dynamics have significantly amplified the dissemination of hateful content. Existing studies mainly focus on classifying…