法律 AI // 资讯总览
需要被持续追踪的
法律 AI 信号。
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
法律 AI // 资讯总览
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
原题: STONIC: A Layered Measurement Contract for LLM Value Profiling
涉及法律行业大模型应用、律所与企业法务数智化实践指引。
arXiv论文《STONIC: A Layered Measurement Contract for LLM Value Profiling》考察大型语言模型的价值画像能否在不同测量界面之间保持一致。研究基于四个价值情境库的5144个情境和35组固定模型配置,比较孤立评分、经平衡处理的冲突选择、自发生成回答,以及模型对自身早期答案和人工撰写替代答案的后续选择。17组具备可用行为数据的配置中,10组在不同情境库间保持“认可—选择”关系;17组均偏好自身先前生成的答案,但选项位置始终影响选择率。研究显示,价值画像从评分迁移至冲突选择时最强,迁移至自发文本时减弱。在200条L3回答的三方标注中,FULCRA与人工多数意见最接近,校准后的DeBERTa仍保留部分排序信息。作者据此认为,模型存在可重复的行为连续性,但尚不足以证明不同接口下存在不依赖评分器的单一价值身份。
展示来源全文,完整内容以原文页面为准。
arXiv:2608.23411v1 Announce Type: new Abstract: LLM value studies often merge questionnaire ratings, pairwise choices, and values inferred from generated text into one profile. That merge assumes that the three observations describe the same stable preference. STONIC tests this assumption on 5,144 situations from four banks and 35 fixed model configurations. It compares responses rated in isolation, choices made under counterbalanced conflict, spontaneous answers, and later choices between a model's own answer and authored alternatives. 10 of 17 configurations with usable behavioral data preserve the endorsement-choice relation across banks. Every one of the 17 eligible configurations prefers its own earlier answer (median effect 0.790), although option position changes the choice rate in every eligible configuration. Profile shape transfers most strongly from ratings to conflict choices and weakens for spontaneous text. Three-way annotation of 200 L3 responses provides a task-local check of the semantic audit: FULCRA agrees most closely with the human majority, while DeBERTa retains useful rank information after calibration. Hidden states encode the completed decision more clearly than the prompt alone. Thus the models show reproducible behavioral continuity, but the evidence does not support one scorer-independent value identity across interfaces.
文书与研报规范引注
《STONIC检验大模型价值画像跨界面一致性》(来源: arXiv cs.CL,发布日期: 2026/10/07,访问链接: https://arxiv.org/abs/2608.23411)