IntelliProof：一个基于论证网络的、用于有序反思的对话式辅助工具
IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection
AI总结：
本文提出基于LLM的交互式议论文分析系统IntelliProof，通过构建论证图、提供分类依据与连贯性量化指标、配套可视化与自然语言理解工具，在保留人类监督的前提下辅助用户评估论证质量，弥合论证结构与文本理解的鸿沟。
摘要：
我们提出IntelliProof，一款依托大语言模型（LLM）分析议论文的交互式系统。IntelliProof将文章构建为论证图：以节点表示论点，将支撑证据作为节点属性附加，边则编码支撑或攻击关系。与现有自动作文评分系统不同，IntelliProof重视用户体验：每类关系先由LLM完成分类与打分，再通过可视化呈现以提升理解度。系统会给出分类依据，并生成衡量文章连贯性的量化指标，支持用户在保留人类监督的前提下快速探查论证质量。此外，IntelliProof提供一系列工具，帮助用户以自然语言更好地理解议论文及其对应论证图，弥合议论文结构语义与用户对给定文本的理解之间的鸿沟。
英文摘要：
We present IntelliProof, an interactive system for analyzing argumentative essays through LLMs. IntelliProof structures an essay as an argumentation graph, where claims are represented as nodes, supporting evidence is attached as node properties, and edges encode supporting or attacking relations. Unlike existing automated essay scoring systems, IntelliProof emphasizes the user experience: each relation is initially classified and scored by an LLM, then visualized for enhanced understanding. The system provides justifications for classifications and produces quantitative measures for essay coherence. It enables rapid exploration of argumentative quality while retaining human oversight. In addition, IntelliProof provides a set of tools for a better understanding of an argumentative essay and its corresponding graph in natural language, bridging the gap between the structural semantics of argumentative essays and the user's understanding of a given text.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
