arXiv AI By Siyi Liu, Muyun Shao, Beishui Liao

Beyond But-for Test: Counterfactual Explanation in Abstract Argumentation via Actual Causality (Extended Version)

Read the original on arXiv AI →

arXiv:2606. 31080v1 Announce Type: cross Abstract: Counterfactual explanation in abstract argumentation calls for an answer to the what-if query: would the topic argument still be accepted if the status of certain other arguments were changed?

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arXiv AI
Jul 24

A Counterfactual Cause in Situation Calculus

arXiv:2501. 06857v3 Announce Type: replace Abstract: Perhaps the most popular modern formulation of actual causality is the HP account by Halpern and Pearl.

By Daxin Liu (Nanjing University), Vaishak Belle (The University of Edinburgh)
arXiv Computation and Language
Sep 16

Autoformalizing Argumentative Material Inferences

The paper introduces GUARD, a neuro‑symbolic system that autoformalizes argumentative material by completing missing premises (guards) before formal verification. It uses large language models to generate candidate guards, Isabelle/HOL to verify them, and a contrastive test to ensure the proof depends on the original premises and does not over‑generalize. Experiments on Debatepedia and ARCT show that GUARD improves verified‑faithful scores by over 30 points and reduces leakage by about 20 points compared to prior LLM‑driven theorem proving methods.

By Xin Quan, Reto Gubelmann, Andr\'e Freitas