AIBullisharXiv – CS AI · 9h ago6/10
🧠
Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving
Researchers introduce a critic-guided multi-agent framework that improves LLM reasoning reliability for mathematical problem-solving by combining heterogeneous AI agents with adaptive feedback loops. The approach achieves 13% accuracy improvements on benchmarks while demonstrating that smaller models can match larger ones when equipped with critique mechanisms.