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New ARGUS framework uses Theory-of-Mind for persuasive argument generation

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ARGUS framework uses Theory-of-Mind for persuasive argument generation

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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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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
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17 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Zhe Hu ·

    ARGUS: Theory-of-Mind Guided Argument Generation with Strategy-Aware Planning and Knowledge Grounding

    arXiv:2608.20405v1 Announce Type: new Abstract: Persuasive argument generation requires modeling audience beliefs, rhetorical strategies, and factual grounding. Despite recent advancements, existing methods remain largely audience-agnostic and fail to integrate strategy selection…

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