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Commit or Abstain? System One Decision Models, LLMs, and Missing Legal Authority

Paper recorded by Signals 4 on 2026-10-21 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.CL · 自然语言处理 · first seen 2026-10-22

Abstract

Given the enormous number of claims to be checked, verifiable legal AI requires scalable, cost-effective models that answer the practical needs of law. System One decision models are built on large language models but, instead of generating text, return a calibrated probability for each option. This suits the verification of legal authority, where the question is closed: a given holding, or none o

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#184 most recent of 660 cs.CL papers we have recorded · ↑ newer: CulturalRiddles: A Multicultural Benchmark of Riddles · ↓ older: Towards English - Mizo Legal Machine Translation: Corpus Creation, Ana
Cite this page: Commit or Abstain? System One Decision Models, LLMs, and Missing Legal Authority: the #184 most recent of 660 cs.CL papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/commit-or-abstain-system-one-decision-models-llms-and-missing-legal-authority.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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