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JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction

Paper recorded by Signals 4 on 2026-08-30 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CL · 自然语言处理 · first seen 2026-09-01

Abstract

Criminal judgment prediction requires models to infer statutory articles, charges, and sentencing outcomes from case facts. Unlike standard classification tasks, it involves a structured reasoning process in which statutes should be matched with facts, charges should be justified by statutes, and sentencing outcomes should remain consistent with charges. Existing approaches optimize final labels,

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#162 most recent of 186 cs.CL papers we have recorded · ↑ newer: PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating · ↓ older: Beyond Surface Alignment: Grounding the Dynamics of Situational Unders
Cite this page: JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction: the #162 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/jpo-juris-policy-optimization-for-structured-legal-reasoning-in-criminal-judgmen.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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