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cs.LG2024★ 2 cited
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi +1
Large language models (LLMs) are capable of solving a wide range of tasks, yet they have struggled with reasoning. To address this, we propose $\textbf{Additional Logic Training (A…
cs.LG2022
Rethinking Fano's Inequality in Ensemble Learning
Terufumi Morishita, Gaku Morio, Shota Horiguchi +2
We propose a fundamental theory on ensemble learning that answers the central question: what factors make an ensemble system good or bad? Previous studies used a variant of Fano's…