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cs.CL2024
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning
Mathurin Videau, Alessandro Leite, Marc Schoenauer +1
Recent advancements have highlighted that large language models (LLMs), when given a small set of task-specific examples, demonstrate remarkable proficiency, a capability that exte…
cs.CV2024
Mixture of Experts in Image Classification: What's the Sweet Spot?
Mathurin Videau, Alessandro Leite, Marc Schoenauer +1
Mixture-of-Experts (MoE) models have shown promising potential for parameter-efficient scaling across domains. However, their application to image classification remains limited, o…
cs.LG2024
Evolutionary Retrofitting
Mathurin Videau, Mariia Zameshina, Alessandro Leite +3
AfterLearnER (After Learning Evolutionary Retrofitting) consists in applying evolutionary optimization to refine fully trained machine learning models by optimizing a set of carefu…