2 papers
cs.LG2026
Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong +3
Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact marginalized communities. Reweighting, which assigns a weight to…
cs.NE2025
GP and LLMs for Program Synthesis: No Clear Winners
Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron +1
Genetic programming (GP) and large language models (LLMs) differ in how program specifications are provided: GP uses input-output examples, and LLMs use text descriptions. In this…