Attribution-guided skill graphs improve targeted repairs for frozen language models

SkillAA traces execution failures to specific graph objects, edits only the implicated structure, and validates changes before committing them.

Top University
Ziqiao Shang · Ling-Yue Ge · Lan-Zhe Guo

National Key Laboratory for Novel Software Technology · Nanjing University

Research Digest··2 min read
Shang, Ge, and Guo introduce SkillAA, a framework that improves external procedural skills without updating a language model’s parameters.

The authors represented when skills apply, how they execute, and how they compose as a unified graph.

Why this paper

From Nanjing University and National Key Laboratory for Novel Software Technology · Part of Skill Selection for Agents, now 14 papers

In one line

GraphSkillAA uses attribution-guided updates and two-level validation to optimize skill graphs, outperforming existing methods.

What we could check

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  • ·No stated limitations found
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