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cs.AI2026
Causal Discovery as Dialectical Aggregation: A Quantitative Argumentation Framework
Sheng Wei, Yulin Chen, Beishui Liao
Constraint-based causal discovery is brittle in finite-sample regimes because erroneous conditional-independence (CI) decisions can cascade into substantial structural errors. We p…
cs.AI2026
Subargument Argumentation Frameworks: Separating Direct Conflict from Structural Dependency
Beishui Liao
Dung's abstract argumentation frameworks model acceptability solely in terms of an attack relation, thereby conflating two conceptually distinct aspects of argumentative reasoning:…
cs.AI2025
Enhancing Conflict Resolution in Language Models via Abstract Argumentation
Zhaoqun Li, Xiaotong Fang, Chen Chen +2
In recent years, large language models (LLMs) have made significant advancements in developing human-like and engaging dialogue systems. However, in tasks such as consensus-buildin…