gdpo-multi-reward-optimization

Optimize language models against multiple reward signals simultaneously by decoupling reward normalization. GDPO prevents reward combination collapse that undermines training signal quality when aligning models to multiple human preferences like accuracy, safety, efficiency, and format compliance.

Independent GitHub snapshot · Automated classification · Original documentation governs