Author

Ahmed Rashad

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Review Aug 2026

Can Foundation Models Hear What Made That Sound? A Tiered Benchmark of Audio-Language Models and Traditional Classifiers for Closed-Set Sound Source Identification

We benchmark eleven audio classification methods: five task-aware closed-set LLMs (four Gemini models plus open-weight Kimi-Audio-7B-Instruct), four fixed-vocabulary taggers (YAMNet, PANNs, Whisper-AT, and SSLAM), a zero-shot audio-text model (CLAP), and an audio-grounded LLM (BAT). We evaluate them on a closed-set sou...

Sajjad Abdoli, Ghassan Al-Sumaidaee, Ahmad El-Shiekh et al. · 1 citation

Review Aug 2026

Benchmarking Frontier Text-to-Image Models on Image-Description Prompts

Failure analysis shows that the leading systems primarily lose points through object miscounting and geometric artifacts, whereas the trailing systems more frequently produce garbled text, and Ideogram 3.0 also frequently omits requested elements.

Sajjad Abdoli, Ghassan Al-Sumaidaee, Ahmed Rashad · 1 citation

#artificial intelligence Preprint Aug 2026

Beyond Fluency: A Rubric-Based Benchmark for Evaluating Saudi Dialect and Cultural Competence in Large Language Models

Large language models are increasingly deployed in Arabic-speaking markets, yet standard benchmarks overwhelmingly reward Modern Standard Arabic (MSA) fluency while leaving dialectal and culturally grounded competence unmeasured. This gap is consequential: everyday Arabic is largely dialectal, and dialect encodes socia...

Ghassan Al-Sumaidaee, Sajjad Abdoli, Ahmed Rashad et al. · 0 citations