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A decompositional lens is introduced for studying the effects of instruction-tuned models on question answering, mathematics, and code generation in LLM post-training and highlights how the value of code data in post training depends on which categories are combined for which model and task.
Agent skills extend coding agents with task-specific instructions, scripts, and resources, but they also create a trusted instruction channel that can be abused beyond conventional security attacks. This paper studies token amplification through skill injection: an economic resource-abuse threat in which a malicious sk...
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