CoTS: Competitive Token Selection for Latent Reasoning in Large Language Models
CoTS reframes latent reasoning by treating token selection as a continuous allocation rather than a binary choice. It uses competition between the top two most likely tokens to dynamically balance discrete commitment with soft exploration during generation, leading to superior performance over standard Chain-of-Thought methods.