🔗 Who cites «Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data»

1. Dolphin: A Challenging and Diverse Benchmark for Arabic NLGFindings of the Association for Computational LinguisticsEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Ahmed Oumar El-Shangiti, et al.2023 · 35 citations
2. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP)Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 27 citations
3. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations

5 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/naous-2021-empathetic-bert2bert-conversational-model-learning/cited-by/