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Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs
Muhammed Saeed, Elgizouli Mohamed, Mukhtar Mohamed +3
Large language models (LLMs) are widely used but raise ethical concerns due to embedded social biases. This study examines LLM biases against Arabs versus Westerners across eight d…
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition
Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy +24
In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divi…
What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark
Adham Ibrahim, Shady Shehata, Ajinkya Kulkarni +2
Speech emotion recognition (SER) is essential for enhancing human-computer interaction in speech-based applications. Despite improvements in specific emotional datasets, there is s…