Cochain: Balancing Insufficient and Excessive Collaboration in LLM Agent Workflows

Understand

Large Language Models (LLMs) have demonstrated impressive performance in executing complex reasoning tasks.

• Chain-of-thought effectively enhances reasoning capabilities by unlocking the potential of large models, while multi-agent systems provide more comprehensive solutions by integrating the collective intelligence of multiple agents.
• However, both approaches face significant limitations.
• Single-agent with chain-of-thought, due to the inherent complexity of designing cross-domain prompts, faces collaboration challenges.