Researchers have developed ARGUS, a novel agent-based framework designed to enhance persuasive argument generation. This system utilizes a Theory-of-Mind (ToM) Reasoner to model audience beliefs and values, which then guides a component-aware planner. The planner breaks down arguments into subtopics, assigns rhetorical functions, and retrieves evidence, with a refinement module iteratively improving the output. Evaluations on three benchmarks demonstrated that ARGUS consistently outperformed strong baselines, achieving top rankings and effectively shifting resistant audience stances. AI
IMPACT This framework could lead to more sophisticated AI systems capable of generating persuasive content tailored to specific audiences.
RANK_REASON The cluster contains a research paper detailing a new framework for argument generation. [lever_c_demoted from research: ic=1 ai=1.0]
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