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❔ 待判断 技术进展 AI 状态:已分析 综合价值 3.6 / 5
来源
arXiv 人工智能预印本(Atom)(arXiv · INTL)
发布时间
2026-10-09 01:26
采集时间
2026-10-10 13:32
语言
en
地域置信度
20%
原始链接
https://arxiv.org/abs/2610.12361v1
内容指纹
fe6ba2aae332d17c888f1f3bfeb53225c778381252edfa968310358768db9ea5

AI 整理

分析于 2026-10-10 13:33(第 1 版,来源:offline)

Large language models increasingly justify legal decisions by naming the statute or precedent behind a verdict, treated as evidence that the decision follows from it.

为什么值得关注:属于技术进展,可能扩散到其他领域

趋势标签: verdict models legal authority

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Large language models increasingly justify legal decisions by naming the statute or precedent behind a verdict, treated as evidence that the decision follows from it. We test this directly: holding case facts fixed, we substitute the named legal authority for an unrelated one and decode a model's evolving verdict from its hidden states. Across seven open-weight models (8B-70B) and four benchmarks spanning judicial and contractual reasoning, when explicitly required to justify a verdict by naming the governing authority, models name the correct one in 66.7%-100% of generations, while the verdict changing when the authority changes is far less consistent: 0.0%-21.7% on CaseHOLD, 30.0%-76.7% on ECHR and SCOTUS, and 43.3%-50.0% on ContractNLI. Neither scale nor a purpose-built legal-reasoning model (a best-effort LoRA reproduction; Section 6) closes this gap. A red-teaming evaluation on five core models finds compliance with an adversarial instruction hidden in the case facts (73.3%-96.4%) exceeds verdict-swap sensitivity by a wide margin, holding without exception across model rankings. Naming a legal authority is thus a poor proxy for a verdict's dependence on it, while the same verdict remains separately vulnerable to adversarial manipulation. Both findings replicate across checks ruling out prompt-wording noise and confounded sampling, and bear directly on the use of generated legal explanations as compliance or audit artefacts.

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2026-10-09 首次出现
Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thought Faithfulness

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