Benchmarking Patent Drafting from Inventor-Style Disclosures

• 类型：arxiv
• 标识：2608.21249
• 链接：http://arxiv.org/abs/2608.21249v1
• 主分类：evaluation
• 形态：benchmark
• TLDR：While recent large language models (LLMs) have achieved promising results on individual patent drafting tasks, they fundamentally fail to investigate the core challenge of real-world patent drafting: generating a complete and legally coherent patent application directly from early-stage invention materials. Prior work predominantly assumes later-stage, highly structured, or already legalistic inputs. However, real patenting workflows begin with informal, de-legalized disclosures authored by inventors. To bridge the gap, we introduce Dis2Pat, a disclosure-to-patent dataset that reflects realist
• 待LLM分类：否
• 标题中文：基于发明人风格 disclosure 的专利起草 benchmark
• TLDR中文：尽管近期 LLM 在单项专利起草任务上取得不错的成绩，却未触及现实专利起草的核心挑战——从早期发明材料直接生成完整且法律上一致的专利申请。已有工作多假设输入处于后期、高度结构化或已具法律风格，但实际工作流程始于发明人编写的非正式、去法律化的 disclosure。为弥合差距，我们提出 Dis2Pat，一个反映真实[专利撰写场景]的 disclosure-to-patent 数据集。
• 来源文件：
• /inbox/tom/_candidates/2026-08-25-agent-memory-tool-use-candidates.json