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.
LA-MGFM: A legal judgment prediction method via sememe- enhanced graph neural networks and multi-graph fusion mechanism
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The study applies a new framework to assess floating solar PV potential in South America, reporting high yields above 1500 kWh/kW/year and cost competitiveness with land-based systems via hydropower co-location and water benefits.
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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.