AI RESEARCH
An LLM-Based System for Argument Reconstruction
arXiv CS.CL
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ArXi:2605.13793v1 Announce Type: new Arguments are a fundamental aspect of human reasoning, in which claims are ed, challenged, and weighed against one another. We present an end-to-end large language model (LLM)-based system for reconstructing arguments from natural language text into abstract argument graphs. The system follows a multi-stage pipeline that progressively identifies argumentative components, selects relevant elements, and uncovers their logical relations. These elements are represented as directed acyclic graphs consisting of two component types (premises and.