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PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models

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学术前沿 3.2 分 — Moderate AI relevance +novelty(1) +practical(2)
原文: cs.CL updates on arXiv.org

评分 3.2 · 来源:cs.CL updates on arXiv.org · 发布于 2026-04-15

评分依据:Moderate AI relevance +novelty(1) +practical(2)

arXiv:2604.12995v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly integrated into real-world decision-making, including in the domain of public policy. Yet, their ability to comprehend and reason about policy-related content remains underexplored. To fill this gap, we present \textbf{\textit{PolicyBench}}, the first large-scale cross-system benchmark (US-China) evaluating policy comprehension, comprising 21K cases across a broad spectrum of policy areas, capturing…