PTCG: Persona-guided Tree-based Counterargument Generation

2026-09-07

AI Summary

为解决现有方法生成单一反论的问题，提出PTCG框架，通过结合树状思维启发的逐步生成与修剪及说话人角色选择，生成多样化且有说服力的反论。

Abstract

The ability to generate counterarguments is important for critical thinking and balanced discourse, yet existing approaches typically produce only a single counterargument, failing to capture the diversity and persuasiveness required in real-world debates. To address this limitation, we propose Persona-guided Tree-based Counterargument Generation (PTCG), a framework that combines Tree-of-Thoughts-inspired step-wise generation and pruning with speaker persona selection. By estimating the author's persona from the original argument and incorporating speaker personas representing distinct perspectives, PTCG operationalizes perspective-taking and enables the generation of diverse counterarguments. Results from LLM-as-a-Judge, classifier-based assessment, and human evaluations indicate that PTCG shows consistent improvements in both the diversity and persuasiveness of counterarguments compared to baseline methods.

Problem

• counterargument generation
• diversity
• persuasiveness

Innovation

• Tree-of-Thoughts
• persona selection
• diverse counterarguments
• perspective-taking