3 papers
Pareto sensitivity, most-changing sub-fronts, and knee solutions
Tommaso Giovannelli, Marcos Medeiros Raimundo, Luis Nunes Vicente
When dealing with a multi-objective optimization problem, obtaining a comprehensive representation of the set of Pareto optimal solutions can be computationally expensive. However,…
Reasoning Distillation and Structural Alignment for Improved Code Generation
Amir Jalilifard, Anderson de Rezende Rocha, Marcos Medeiros Raimundo
Effective code generation with language models hinges on two critical factors: accurately understanding the intent of the prompt and generating code that applies algorithmic reason…
Multi-criteria Rank-based Aggregation for Explainable AI
Sujoy Chatterjee, Everton Romanzini Colombo, Marcos Medeiros Raimundo
Explainability is crucial for improving the transparency of black-box machine learning models. With the advancement of explanation methods such as LIME and SHAP, various XAI perfor…