Researchers find efficient LLM conditioning methods trade fluency for effectiveness.

Apple Machine Learning researchers systematically study conditioning methods for steering LLM outputs and find that efficient steering methods frequently achieve conditioning at a steep cost to generation fluency, identifying a critical trade-off.