Researchers have developed a framework called ARGUS for generating persuasive arguments that take into account an audience's beliefs, values, and rhetorical strategies. The system uses a Theory-of-Mind Reasoner to model the audience's mental state and guide downstream decisions. This includes decomposing the argument into subtopics, assigning rhetorical functions, and retrieving evidence. The framework is evaluated on three benchmarks using automated metrics and shows consistent improvement over strong baselines. --- Why it matters: This matters because it addresses a long-standing challenge in AI research: generating arguments that are persuasive to humans. ARGUS's ability to model audience beliefs and values could have significant implications for applications such as debate, negotiation, and even content creation. Source: https://arxiv.org/abs/2608.20405