Why Multi-Agent Systems Fail? Two Interesting Experimental Conclusions on R1 Class Reasoning Model Training and Inference
Today is March 27, 2025, Thursday, Beijing, clear weather. Today, we continue to discuss the R1 reasoning model and the topic of multi-agents. There are three interesting experimental reports. They are: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking (Think Twice), Length of Training Data is More Important than Difficulty for Training Reasoning Models, and … Read more