AraSSM: A bidirectional state-space encoder for Arabic masked language modeling

arXiv:2608.08256 · cs.CL · Submitted 2026-08-08 · Read on arXiv

Ahmed Amine Aliane, Hassina Aliane, Nasredine Semmar

cs.CL

Submitted: 2026-08-08

Updated: 2026-08-11

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 54× in this paper · explained in 2 episodes
• Fine-Tuning — 23× in this paper · explained in 5 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Transformer Encoder — 16× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Tokenization — 5× in this paper · explained in 2 episodes
• Transformers — 4× in this paper · explained in 2 episodes
• Weight Decay — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• Hyperparameters — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Evaluation Protocol — 2× in this paper · explained in 2 episodes
• Hotel Arabic-Reviews Dataset — 2× in this paper
• Modern Standard Arabic — 2× in this paper
• Arabic Reading Comprehension Dataset — 1× in this paper
• Composition — 1× in this paper · explained in 2 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Performance Gap — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 3 episodes
• State Space Models (SSMs) — 1× in this paper · explained in 5 episodes
• Transformer Architecture — 1× in this paper · explained in 4 episodes

Sources

• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• BioMamba: Domain-Adaptive Biomedical Language Models
• ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes
• ORCA: A Challenging Benchmark for Arabic Language Understanding
• Efficiently Modeling Long Sequences with Structured State Spaces
• Fast and Continual Learning for Hybrid Control Policies using Generalized Benders Decomposition
• VMamba: Visual State Space Model
• CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

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