ALLaM: Large Language Models for Arabic and English
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Abstract (arXiv)
We present ALLaM: Arabic Large Language Model, a series of large language models to support the ecosystem of Arabic Language Technologies (ALT). ALLaM is carefully trained considering the values of language alignment and knowledge transfer at scale. Our autoregressive decoder-only architecture models demonstrate how second-language acquisition via vocabulary expansion and pretraining on a mixture of Arabic and English text can steer a model towards a new language (Arabic) without any catastrophic forgetting in the original language (English). Furthermore, we highlight the effectiveness of using parallel/translated data to aid the process of knowledge alignment between languages. Finally, we show that extensive alignment with human preferences can significantly enhance the performance of a language model compared to models of a larger scale with lower quality alignment. ALLaM achieves state-of-the-art performance in various Arabic benchmarks, including MMLU Arabic, ACVA, and Arabic Exams. Our aligned models improve both in Arabic and English from their base aligned models.
Key facts. Cited by 55 papers in the map (data through 14 Oct 2026). Builds on 72 of its 111 references that are in the map. First posted on arXiv 22 Jul 2024.
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72 of 111 references.
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50 most cited of 72 All 72 (JSON)
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- 2025Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text16 Jun 2025
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- 2025Sadeed: Advancing Arabic Diacritization Through Small Language Model30 Apr 2025
- 2025Kuwain 1.5B: An Arabic SLM via Language Injection21 Apr 2025
- 2025Command R7B Arabic: A Small, Enterprise Focused, Multilingual, and Culturally Aware Arabic LLM18 Mar 2025
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- 2025Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Taskscited by 0
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- 2026Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialoguescited by 0
- 2026Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues30 Apr 2026
- 2026SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning21 Apr 2026
- 2026State-of-the-Art Arabic Language Modeling with Sparse MoE Fine-Tuning and Chain-of-Thought Distillation7 Apr 2026
- 2025Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation1 Sep 2025
- 2025QU-NLP at QIAS 2025 Shared Task: A Two-Phase LLM Fine-Tuning and Retrieval-Augmented Generation Approach for Islamic Inheritance Reasoning20 Aug 2025
- 2025Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks13 Aug 2025
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- 2025Commonsense Reasoning in Arab Culture18 Feb 2025
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- 2026E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets10 Sep 2026
- 2026A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study24 Aug 2026
- 2026IslamicTurathBench: A Multi-Task, Multi-Discipline Benchmark for Evaluating Large Language Models on the Islamic Scholarly Tradition (turath)5 Aug 2026
- 2026Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models30 Jul 2026
- 2026Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs4 Jul 2026
- 2026Islamic Large Language Models: From Knowledge Acquisition to Trustworthy and Hallucination-Resistant AI15 Jun 2026
- 2026LLM-Based Financial Sentiment Analysis in Arabic: Evidence from Saudi Markets19 May 2026
- 2026HalluScore: Large Language Model Hallucination Question Answering Benchmark16 May 2026
- 2026WASIL: In-the-Wild Arabic Spoken Interactions with LLMs9 May 2026
- 2026Linear Semantic Segmentation for Low-Resource Spoken Dialects7 May 2026
- 2026IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation6 Apr 2026
12 newest of 41 All 41 (JSON)