{"topic":{"id":7267,"title":"技术向：用 LLM 分析門友的身份（例如发现关联账号和真实身份）","slug":"topic","categoryId":4,"createdAt":"2023-11-15 13:52:29.037393","bumpedAt":"2023-11-15 14:18:12.107745","views":266,"postsCount":5,"highestPostNumber":5,"likeCount":0,"closed":false,"pinned":false,"pinnedGlobally":false,"pinnedAt":null,"pinnedUntil":null,"isBanner":false,"excerpt":"苏黎世联邦理工学院的研究员随机选择了 1500 个交大门用户，然后用其中 520 个用户的发帖组成了一个数据集。结果发现 9 个最先进的大型语言模型能够从大量非结构化文本 (例如论坛回复或社交动态) 中自动推断出广泛的个人属性 (例如位置、收入、性别)。总准确率 84.6% 的 GPT-4 为第一，性别和出生地点的准确率分别达到近 97% 和 92%。人类专家在有额外信息 (看到论坛板块和无限制搜索等) 的情况下略胜 AI，但是 AI…","deletedAt":null,"isAnonymous":false,"category":{"id":4,"name":"谈笑风生","slug":"general","color":"25AAE2"},"author":{"id":1047,"username":"anonymous_coward_old","name":"Anonymous Coward Old","avatarUrl":"/uploads/image/43/32/4332638c11248b8ff07033c11de0759a55205facfbec85e14458245a91991faf.avif"},"tags":[]},"posts":[{"id":17179,"postNumber":1,"raw":"苏黎世联邦理工学院的研究员随机选择了 1500 个交大门用户，然后用其中 520 个用户的发帖组成了一个数据集。结果发现 9 个最先进的大型语言模型能够从大量非结构化文本 (例如论坛回复或社交动态) 中自动推断出广泛的个人属性 (例如位置、收入、性别)。\r\n\r\n总准确率 84.6% 的 GPT-4 为第一，性别和出生地点的准确率分别达到近 97% 和 92%。人类专家在有额外信息 (看到论坛板块和无限制搜索等) 的情况下略胜 AI，但是 AI 所需的资金和时间投入却减少了 100 倍，这使大规模隐私侵犯首次成为可能。\r\n\r\nhttps://arxiv.org/abs/2310.07298","cooked":"

苏黎世联邦理工学院的研究员随机选择了 1500 个交大门用户，然后用其中 520 个用户的发帖组成了一个数据集。结果发现 9 个最先进的大型语言模型能够从大量非结构化文本 (例如论坛回复或社交动态) 中自动推断出广泛的个人属性 (例如位置、收入、性别)。

总准确率 84.6% 的 GPT-4 为第一，性别和出生地点的准确率分别达到近 97% 和 92%。人类专家在有额外信息 (看到论坛板块和无限制搜索等) 的情况下略胜 AI，但是 AI 所需的资金和时间投入却减少了 100 倍，这使大规模隐私侵犯首次成为可能。

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盒！ 😨

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小王，开一下 admin

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$\"685fc3a81bdd7f29\"$

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我做事光明磊落，不怕被开

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