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: Reading a Legal Question Word by Word: Embedding Trajectories of 2,144 Vietnamese Legal Headlines
研究逐词读取2,144条越南法律标题,用四款嵌入模型编码65,444个前缀并对20,034条文检索。结果显示,金牌条文通常在读到6至7个实词后即升至首位,78%至85%保持至终;数字、日期和文号位移约为实词两倍;多问题、答案与跨标题词步方向被归纳为“情境调制加性游走”。
展示来源全文,完整内容以原文页面为准。
arXiv:2609.08372v2 Announce Type: replace Abstract: A dense retriever encodes a question as one vector, but the question arrives one word at a time. We read 2,144 held-out headlines from Thu Vien Phap Luat (Vietnamese legal library) word by word with Nemotron-3-Embed 8B/1B and Qwen3-Embedding 8B/0.6B, encoding 65,444 prefixes against 20,034 articles, plus every prefix of 3,438 sub-questions from 1,112 multi-question headlines and of 168 answers. (i) The gold article becomes rank 1 after a median of 6-7 content words in every encoder, before the interrogative frame is read, and stays there to the end in 78-85% of cases. (ii) In a multi-question headline the lock is inside the first sub-question 94-98% of the time; the second leaves rank unchanged in 89-95%; encoded alone, the second reaches rank 1 in 42-58% vs 91-96% for the first, at the same lock word (95-97% identical). (iii) Numbers, dates and instrument identifiers move the embedding twice as far as content words and four times as far as interrogative words; 72-78% of steps move toward the gold article, and the closing interrogative frame moves against that direction in 95-99% of headlines. (iv) Rank/cosine clustering yields six archetypes (instant, typical, unstable, late, never-locking) that differ by legal area and form (chi-squared p < 1e-8): real-estate and litigation headlines never lock on a number; environmental and accounting headlines do so a third of the time. (v) An answer read word by word retrieves its article after 8-16 words and addresses the sub-questions in order asked in 83-89% of cases. (vi) A word's step keeps a consistent direction across headlines (cosine 0.25-0.33; 0.44-0.60 for numbers); a preceding question rotates that step by about 60 degrees and a greeting by about 30 degrees; steps shrink as i^{-0.8}; and a two-question headline is within 12-17 degrees of a linear mix of its two questions. We call this a context-modulated additive walk.
嵌入模型可能在完整理解问题或程序框架前即锁定相关条文,提示法律检索存在早期偏差与可解释性风险。
文书与研报规范引注
《逐词阅读法律问题揭示检索锁定机制》(来源: arXiv cs.CL,发布日期: 2026/09/12,访问链接: https://arxiv.org/abs/2609.08372)