OpenAlex
metadata only
Do Charge Prediction Models Learn Legal Theory?
The charge prediction task aims to predict the charge for a case given its fact description.Recent models have already achieved impressive accuracy in this task, however, little is understood about the mechanisms they use to perform the judgment.For practical applications, a charge prediction model
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Accuracy in the Determination of Liability#21423
- THE ANATOMY OF CHARGE STACKING: LEGAL LIMITS ON CUMULATIVE ALLEGATIONS IN CRIMINAL PROCEDURE#429131
- Mutual Optimism and Risk Preferences in Litigation#309796
- Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval#987474
- CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment#1132424
Record · ID 1178205
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive