TypedCSIP applies typed counterfactual selective intervention pretraining on expert revisions to lift macro-F1 by 0.9-1.3 pp on the LCR-CN Chinese legislative conflict classification benchmark under a pre-registered multi-seed test.
Counterfactual contrastive learning: Robust representations via causal image synthesis, in: Data Engineering in Medical Imaging (DEMI) Workshop at MICCAI.arXiv:2403.09605
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TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification
TypedCSIP applies typed counterfactual selective intervention pretraining on expert revisions to lift macro-F1 by 0.9-1.3 pp on the LCR-CN Chinese legislative conflict classification benchmark under a pre-registered multi-seed test.