2 papers
cs.NE2026
MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement
Leandro Vignolo, Matias Gerard
Selecting the most relevant or informative features is a key issue in actual machine learning problems. Since an exhaustive search is not feasible even for a moderate number of fea…
cs.AI2025
Comprehensive benchmarking of large language models for RNA secondary structure prediction
L. I. Zablocki, L. A. Bugnon, M. Gerard +3
Inspired by the success of large language models (LLM) for DNA and proteins, several LLM for RNA have been developed recently. RNA-LLM uses large datasets of RNA sequences to learn…