SOURCE-LINKED INTELLIGENCE
DIAL: Steerable Language Models with Distilled Instruction-Adherence Levels
When a user says "Keep it short", how short should the LLM's response be? More generally, users and applications require different levels of instruction adherence, but prompting does not reliably provide fine-grained control over them. We therefore study "steerable language models" that provide fine-grained numerical control over the degree to which models follow general instructions specified in text. However, existing approaches do not jointly offer fine-grained control, efficiency, and scalability across diverse instructions. To address this gap, we introduce DIAL (Distilled Instruction-Adh
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-10-22T15:34:39.000Z
First collected: 2026-10-23T07:12:42.771Z. This is not the publication date.