Wu Shixiong's Large Model Academy

Dec 12, 2025 · Artificial Intelligence

Why Fixing Bad Cases Beats Adding More Data in RLHF

In industrial RLHF, repairing bad cases—structural error samples—provides explicit alignment signals that improve model capability far more efficiently than simply increasing data volume, because it teaches the model how to correct mistakes rather than just exposing it to more examples.