A Robust Approach to Fine-tune Pre-trained Transformer-based models for Text Summarization through Latent Space Compression. - Ala Alam Falaki; Robin Gras (ICMLA, 2022)

Attention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models. - Ala Alam Falaki; Robin Gras (CoRR, 2023)

Efficient Latent Space Compression for Lightning-Fast Fine-Tuning and Inference of Transformer-Based Models. - Ala Alam Falaki; Robin Gras (Mach. Learn. Knowl. Extr., 2023)

Efficient and Enhanced Text Summarization by Compressing and Data Augmentation for Transformers-Based Models. - Ala Alam Falaki (2024)

Summary Augmenter: A Text Augmentation Framework to Improve Summarization Quality. - Ala Alam Falaki; Robin Gras (Int. J. Artif. Intell. Tools, 2024)