3 papers
cs.CV2025
High Semantic Features for the Continual Learning of Complex Emotions: a Lightweight Solution
Thibault Geoffroy, Gauthier Gerspacher, Lionel Prevost
Incremental learning is a complex process due to potential catastrophic forgetting of old tasks when learning new ones. This is mainly due to transient features that do not fit fro…
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
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…