Byeongho Yu

LoopCD: Loop-wise Contrastive Decoding for Improving Reasoning in Looped Language Models

Looped Language Models (LoopLMs) perform"latent reasoning"by recursively refining internal latent representations with shared weights, offering a more effective alternative to explicit verbal reasoning. Despite their effectiveness, we find that LoopLMs remain prone to loop instability: unstable refinement across iterat...