<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>大模型相关 · polihot</title><link>https://jinhuazhang.top/polihot/llm/</link><description>涉及大语言模型、生成式 AI 与基础模型的政治学 / 公共管理研究。</description><language>zh-cn</language><atom:link href="https://jinhuazhang.top/polihot/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>评估开源大语言模型在多语言咨询反馈自动分析中的有效性：基于瑞士的案例研究</title><link>https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70161/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70161/</guid><pubDate>Mon, 14 Sep 2026 12:00:00 +0800</pubDate><description>PSJ · 2026-09-14 · Evaluating the Effectiveness of Open‐Source LLMs for Automated Analysis of Multilingual Consultation Feedback: A Swiss Case Study</description><category>PSJ</category></item><item><title>看似合理的无稽之谈与审议推理：将大语言模型与人类判断进行基准比较</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2600126123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2600126123/</guid><pubDate>Wed, 09 Sep 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-09-09 · Plausible nonsense and deliberative reasoning: Benchmarking LLMs against human judgment</description><category>PNAS</category></item><item><title>利用生成式人工智能进行非结构化数据的因果推断</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2530532123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2530532123/</guid><pubDate>Thu, 03 Sep 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-09-03 · Leveraging generative AI for causal inference with unstructured data</description><category>PNAS</category></item><item><title>人格配对改善人机协作</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2530627123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2530627123/</guid><pubDate>Fri, 28 Aug 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-08-28 · Personality pairing improves human–AI collaboration</description><category>PNAS</category></item><item><title>通过可见性获得权力：政策叙事如何在X平台的气候变化辩论中发挥作用</title><link>https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70148/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70148/</guid><pubDate>Sun, 09 Aug 2026 12:00:00 +0800</pubDate><description>PSJ · 2026-08-09 · Power Through Visibility: How Policy Narratives Matter in Climate Change Debate on X</description><category>PSJ</category></item><item><title>大语言模型与针对反公共部门偏见的对话式反驳</title><link>https://jinhuazhang.top/polihot/papers/2026-jpart-10-1093-jopart-muag020/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-jpart-10-1093-jopart-muag020/</guid><pubDate>Wed, 05 Aug 2026 12:00:00 +0800</pubDate><description>JPART · 2026-08-05 · Large language models and conversational counter-arguments to antipublic sector bias</description><category>JPART</category></item><item><title>协调何时可以避免：组织任务的单调性分析</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2606267123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2606267123/</guid><pubDate>Mon, 27 Jul 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-07-27 · When coordination is avoidable: A monotonicity analysis of organizational tasks</description><category>PNAS</category></item><item><title>企业准主权：大型科技公司与数字时代的主权权威政治</title><link>https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70142/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70142/</guid><pubDate>Thu, 23 Jul 2026 12:00:00 +0800</pubDate><description>PSJ · 2026-07-23 · Corporate Quasi‐Sovereignty: Big Tech and the Politics of Sovereign Authority in the Digital Age</description><category>PSJ</category></item><item><title>在边界之上：法律与人工智能</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2606704123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2606704123/</guid><pubDate>Mon, 20 Jul 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-07-20 · At the boundary: Law and AI</description><category>PNAS</category></item><item><title>变革性人工智能治理的法律基础设施</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509742123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509742123/</guid><pubDate>Mon, 20 Jul 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-07-20 · Legal infrastructure for transformative AI governance</description><category>PNAS</category></item><item><title>人工智能的成文法建构与解释</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509766123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509766123/</guid><pubDate>Mon, 20 Jul 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-07-20 · Statutory construction and interpretation for AI</description><category>PNAS</category></item><item><title>弱人工智能安全监管的反噬效应</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509768123/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509768123/</guid><pubDate>Mon, 20 Jul 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-07-20 · The backfiring effect of weak AI safety regulation</description><category>PNAS</category></item><item><title>没有免费的基准：法律人工智能基准测试的制度视角</title><link>https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509757122/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pnas-10-1073-pnas-2509757122/</guid><pubDate>Mon, 20 Jul 2026 12:00:00 +0800</pubDate><description>PNAS · 2026-07-20 · There is no free benchmark: An institutional view of legal AI benchmarking</description><category>PNAS</category></item><item><title>铤而走险？将GPT模型纳入公共政策研究</title><link>https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70139/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-psj-10-1111-psj-70139/</guid><pubDate>Tue, 23 Jun 2026 12:00:00 +0800</pubDate><description>PSJ · 2026-06-23 · Running With Scissors? Integrating GPT Models Into Public Policy Research</description><category>PSJ</category></item><item><title>超越信念改变：针对态度相关信念的说服收益</title><link>https://jinhuazhang.top/polihot/papers/2026-apsr-10-1017-s0003055426101622/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-apsr-10-1017-s0003055426101622/</guid><pubDate>Wed, 17 Jun 2026 12:00:00 +0800</pubDate><description>APSR · 2026-06-17 · Beyond Belief Change: The Persuasive Returns of Targeting Attitude–Relevant Beliefs</description><category>APSR</category></item><item><title>微笑机器人，满意的公民？人工智能拟人化对公共服务中公民体验的影响</title><link>https://jinhuazhang.top/polihot/papers/2026-pmr-10-1080-14719037-2026-2653083/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-pmr-10-1080-14719037-2026-2653083/</guid><pubDate>Thu, 02 Apr 2026 12:00:00 +0800</pubDate><description>PMR · 2026-04-02 · Smiley bots, satisfied citizens? The impact of AI humanization on citizen experience in public services</description><category>PMR</category></item><item><title>使用大型语言模型通过自然语言理解分析政治文本</title><link>https://jinhuazhang.top/polihot/papers/2026-ajps-10-1111-ajps-70050/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-ajps-10-1111-ajps-70050/</guid><pubDate>Thu, 19 Mar 2026 12:00:00 +0800</pubDate><description>AJPS · 2026-03-19 · Using large language models to analyze political texts through natural language understanding</description><category>AJPS</category></item><item><title>监管抵消机制能否成为有效的政府自我约束工具？——来自德国的经验教训</title><link>https://jinhuazhang.top/polihot/papers/2026-par-10-1111-puar-70107/</link><guid isPermaLink="true">https://jinhuazhang.top/polihot/papers/2026-par-10-1111-puar-70107/</guid><pubDate>Wed, 11 Mar 2026 12:00:00 +0800</pubDate><description>PAR · 2026-03-11 · Regulatory Offsetting Schemes as Effective Governmental Self‐Binding Device? Lessons From the German Experience</description><category>PAR</category></item></channel></rss>