Associate Professor, École de technologie supérieure, Université du Québec
3 papers at NeurIPS 2025
We refine SVG generation using online reinforcement learning with image reconstruction, semantic, and code-level rewards, boosting accuracy, efficiency, and interpretability.
LT-Soups merges CLIP models fine-tuned on balanced subsets and retrains the classifier on the full dataset, achieving SOTA head/tail accuracy trade-offs across five benchmarks.