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July 26, 2024

Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling

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Authors

ZWZiao WangHong Kong Baptist UniversityXZXiaofeng ZhangChina TobaccoHDHongwei DuUniversity of Science and Technology of China

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Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e5ef80b6db64358758419dhttps://doi.org/10.24963/ijcai.2024/721
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Also Consider

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  1. 1Towards Controllable and Explainable Text Generation via Causal Intervention in LLMs2025
  2. 2Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges2024 · 5 citations
  3. 3Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges2024
  4. 4Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification2024
  5. 5CausalCACTUS: A Causally Consistent and Context-Aware Framework for Counterfactual Explanations2026