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AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation
arXiv cs.AI · 发布于 · 阅读约3分钟
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- 发生了什么
- AdviSD trains small advisor models to guide frozen large language models using natural-language feedback, selectively learning from corrections based on advice impact magnitude.
- 为何重要
- Relevant for engineers building systems where smaller models guide or improve larger model outputs without retraining the main model.
- 注意
- Method tested only on specific model pairs and benchmarks; generalization to other executor models or domains remains unproven beyond reported transfers.
- llm
- distill
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