AI IntelligenceSep 25, 2026AI Intelligence
Article
Study shows self-distillation can degrade multi-turn LLM agent performance
Researchers found that on-policy self-distillation teaches multi-turn LLM agents to act with confidence without the underlying information, sometimes performing worse than untrained base models. To address this, they proposed Privileged Self-Practice, which moves privileged information from the loss to the sampler.
Frontier EditorialSource: arXiv
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Source Brief
Study shows self-distillation can degrade multi-turn LLM agent performance: Researchers found that on-policy self-distillation teaches multi-turn LLM agents to act with confidence without the underlying information, sometimes performing worse than untrained base models. To address this, they proposed Privileged Self-Practice, which moves privileged information from the loss to the sampler.
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