1 code implementation • 9 May 2024 • Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman
Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in their training data.
1 code implementation • 8 Apr 2024 • Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability.
no code implementations • 8 Apr 2024 • Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation.
1 code implementation • 21 Apr 2023 • William G. La Cava
We present a flexible framework for defining the fair machine learning task as a weighted classification problem with multiple cost functions.