FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models

Researchers discovered that in Large Reasoning Models like DeepSeek-R1, the first solution is often the best, with alternative solutions being detrimental due to error accumulation. They propose RED, a new framework that achieves up to 19% performance gains while reducing token consumption by 37.7-70.4%.