Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration

Understand

Large Language Models (LLMs) are evolving at an unprecedented pace and have exhibited considerable capability in the realm of natural language processing (NLP) with world knowledge.

• Benefiting from ultra-large-scale training corpora, a single LLM can manage typical NLP tasks competently.
• However, its performance in executing reasoning tasks is still confined by the limitations of its internal representations.
• To push this boundary further, we introduce Corex in this paper, a suite of novel general-purpose strategies that transform LLMs into autonomous agents pioneering multi-model collaborations for complex task-solving.