AINeutralarXiv – CS AI · 7h ago6/10
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Optimizing Diversity and Quality through Base-Aligned Model Collaboration
Researchers propose Base-Aligned Model Collaboration (BACo), an inference-time framework that dynamically combines base and aligned language models to improve both output diversity and quality simultaneously. The method uses token-level routing strategies based on uncertainty signals, achieving a 21.3% joint improvement in diversity-quality metrics without requiring expensive retraining or multi-pass decoding.