TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization 事件

TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization arXiv:2606.05859v1 Announce Type: new Abstract: Latent reasoning has emerged as a promising alternative to discrete Chain-of-Thought (CoT) in large language models (LLMs), enabling more expressive reasoning by operating over continuous representations. However, the inherently deterministic nature of continuous representations limits policy exploration in reinforcement learning (RL). To address this, we propose TA