Meta AI's COCONUT: Enhancing LLM Reasoning with Chain of Continuous Thought
2024-12-31
Meta AI introduces COCONUT (Chain of Continuous Thought), a novel method to improve the reasoning capabilities of Large Language Models (LLMs). Unlike traditional text-based Chain-of-Thought (CoT), COCONUT enables LLMs to reason in a continuous latent space, bypassing limitations of verbal expression. Research shows COCONUT excels in tasks requiring complex planning, exhibiting a Breadth-First Search (BFS)-like reasoning pattern. Its multi-stage training gradually guides the model to reason in latent space, ultimately boosting accuracy and efficiency.
Read more