2026-08-30（周日） 收录 4 篇论文：WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution；What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents；From Atomic to Agentic: Towards Interpretable Evaluation of LLMs' Agentic Mathematical Capabilities…
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables...
LLM agents increasingly rely on generated interaction data to learn how to interact with external environments. Agentic data generation must maintain consistency among environments, tasks, interaction...
Large Language Models (LLMs) are evolving from performing end-to-end mathematical reasoning to integrating agentic intelligence. However, most existing math benchmarks evaluate only final answers. Thi...
Automated candidate-job matching systems are increasingly classified as high-risk AI under emerging regulation, yet auditing them for demographic bias is expensive: classical correspondence-audit stud...