3 papers
cs.CL2025
Semantic Retention and Extreme Compression in LLMs: Can We Have Both?
Stanislas Laborde, Martin Cousseau, Antoun Yaacoub +1
The exponential growth in Large Language Model (LLM) deployment has intensified the need for efficient model compression techniques to reduce computational and memory costs. While…
cs.CL2025
Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation
Antoun Yaacoub, Sansiri Tarnpradab, Phattara Khumprom +3
Artificial intelligence (AI) is rapidly transforming education, presenting unprecedented opportunities for personalized learning and streamlined content creation. However, realizin…
cs.CL2025
Analyzing Feedback Mechanisms in AI-Generated MCQs: Insights into Readability, Lexical Properties, and Levels of Challenge
Antoun Yaacoub, Zainab Assaghir, Lionel Prevost +1
Artificial Intelligence (AI)-generated feedback in educational settings has garnered considerable attention due to its potential to enhance learning outcomes. However, a comprehens…