AIBullisharXiv – CS AI · 9h ago7/10
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LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
Researchers introduce LatentSkill, a framework that converts textual skills into efficient LoRA adapters for LLM agents, storing knowledge in model weights rather than context prompts. The approach reduces token overhead by 64-72% while improving task performance, enabling more scalable and modular AI agent systems.