Bilal Elbouardi
Bilal Elbouardi has 3 papers in our library, in 2025–2026, most of them on Semitic languages, Sentiment & emotion, Dialogue systems; often with Abed Alhakim Freihat, Amr Keleg, Artem Shelmanov.
OpenAlex · ORCID · Wikidata · h-index 0 · 16 works · 0 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #11058
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 workSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 2 worksDialogue systems · 1 workSentiment & emotion · 1 workSpeech & spoken language · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues (2026 · 1 citation)
Arabic cultural benchmarks usually test isolated, single-turn questions in Modern Standard Arabic (MSA). Everyday cultural knowledge, however, is exchanged in conversation and in regional dialects. The authors build ArabCulture-Dialogue by turning each item of the existing ArabCulture benchmark into a short… - ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition (2025 · 1 citation)
Arabic speech emotion recognition (SER) has little labelled data. Earlier Arabic systems mostly fed 13 MFCC coefficients into 1D convolutions, which handle time and frequency structure separately. The authors present ArabEmoNet, a compact model with about 0.97M parameters. It turns raw audio into Log-Mel spectrograms… - Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling (2026)
The paper asks whether multi-step reasoning in neural models reflects real generalization or memorization, and how difficulty grows with the number of required inference steps.
Co-authors here
- Abed Alhakim Freihat
- Amr Keleg
- Artem Shelmanov
- Aydar Bulatov
- Besher Hassan
- Daniil Orel
- Ivan Rodkin
- Mikhail Burtsev
- Mohamed Anwar
- Momina Ahsan
- Omar El Herraoui
- Preslav Nakov
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Arabic Natural Language Processing Conference (ArabicNLP): ArabicNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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