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#skill-selection News & Analysis

2 articles tagged with #skill-selection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Jun 37/10
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SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale

SkillDAG introduces a typed directed graph system that models inter-skill relationships for LLM agents, enabling dynamic skill selection and structural learning during execution. The approach significantly outperforms existing baselines on ALFWorld and SkillsBench benchmarks, achieving 67.1% success and 27.3% reward by treating skill selection as a structural problem rather than a similarity-matching one.

🧠 GPT-5
AIBullisharXiv – CS AI · Jun 56/10
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Statistical Priors for Implicit Preferences: Decoupling Skill Selection as a Local Harness in Personal Agents

Researchers propose a decoupled architecture for personal AI agents that separates statistical preference learning from semantic intent parsing, enabling lightweight local deployment. The approach uses localized statistical data to modulate remote LLM skill selection decisions, achieving lower regret and higher accuracy than traditional memory-augmented agents.