New Technique Tackles Memory and Robustness Issues in State Space Models and Language Models
Researchers unveil a polarization technique to address memory loss, recency bias, and robustness issues in State Space Models, while also tackling the inefficient 'overthinking' behavior of Large Language Models like OpenAI's o1, reducing redundant computations for improved accuracy and efficiency.