AINeutralarXiv – CS AI · 15h ago6/10
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A Sharper Picture of Generalization in Transformers
Researchers present a new theoretical framework for understanding how transformers generalize on boolean functions using PAC-Bayes theory and Fourier spectral analysis. The work provides non-vacuous generalization bounds for transformers and offers formal explanations for why chain-of-thought reasoning improves performance on complex tasks.