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An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks
Priyanka, Renaud Delbru, Souhail Bakkali +2
Knowledge graph-to-text (KG-to-text) generation verbalizes a set of knowledge graph triples into fluent natural language. While fine-tuned encoder-decoder models have long been the…
Investigating Model Compression for Neural Machine Translation in the Biomedical Domain
Maria Zafar, Souhail Bakkali, Rejwanul Haque
Large-scale pretrained transformer models have achieved state-of-the-art performance across diverse machine translation tasks, including multilingual settings. Knowledge distillati…
DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization
Phan Phuong Mai Chau, Souhail Bakkali, Antoine Doucet
Abstractive summarization has made significant strides in condensing and rephrasing large volumes of text into coherent summaries. However, summarizing administrative documents pre…