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20242026
most citedA Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

18 citations · 18 across the 12 of their papers we have counts for

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cs.SE2026

When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems

Su Wang, Pin Qian, Yihang Chen +6

LLM agents increasingly rely on community-contributed skills that expand an agent's operational capability set. We study a core safety problem in agentic AI systems: whether indivi…

cs.SE2026

GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning

Fali Wang, Chenglin Weng, Xianren Zhang +3

The growing demand for automated graph algorithm reasoning has attracted increasing attention in the large language model (LLM) community. Recent LLM-based graph reasoning methods…