Who cites «Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization»
- AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive SummarizationArabic Natural Language Processing Workshop (WANLP)Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash, et al.2022 · 80 citations
- Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
- AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLPFindings of the Association for Computational LinguisticsAhmed Abul Hasanaath, Aisha Alansari, Ahmed Ashraf, et al.2025 · 8 citations
- AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMsIEEE International Conference on Big Data (BigData)Mo El-Haj, Paul Rayson2025 · 4 citations
- NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted MaskingFindings of the Association for Computational LinguisticsChadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.2026 · 1 citation
This page in Markdown → https://md.research.elamur.ai/free/en/papers/kahla-2021-cross-lingual-fine-tuning-abstractive/cited-by/