Mohamad Ballout

According to our database, Mohamad Ballout authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing SLM via ChatGPT and Dataset Augmentation.

Tom Pieper, Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

CoRR, 2024

Enhancing Small Language Models via ChatGPT and Dataset Augmentation.

Tom Pieper, Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Proceedings of the Natural Language Processing and Information Systems, 2024

Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights.

Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Proceedings of the Natural Language Processing and Information Systems, 2024

FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation.

Mohamad Ballout, Anne Dedert, Nohayr Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generating Qualitative Descriptions of Diagrams with a Transformer-Based Language Model.

Marco Schorlemmer, Mohamad Ballout, Kai-Uwe Kühnberger

Proceedings of the Diagrammatic Representation and Inference, 2024

2023

Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks.

Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Proceedings of the Explainable Artificial Intelligence, 2023

Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI.

Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models.

Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Proceedings of the Asian Conference on Machine Learning, 2023

2020

The benefits of synthetic data for action categorization.

Mohamad Ballout, Mohammad Tuqan, Daniel C. Asmar, Elie A. Shammas, George E. Sakr

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020