超要約:AIがヘンな言葉覚えちゃう問題を研究!ビジネスにも役立つよ☆
🌟 ギャル的キラキラポイント✨ ● AIの「誤学習」(変な言葉を覚えちゃうこと)に注目👀 ● ビジネスでLLM(AI)をもっと安全に使えるようになるかも! ● AIの言葉の勉強方法を解明する、ってとこがスゴくない?
詳細解説 背景 最近のAI(LLM)はすごいけど、実は人間には理解できない変な言葉を覚えちゃうことがあるの!😱 これが「誤学習」。AIが間違った情報を覚えちゃうと、困ったことになるよね?
方法 AIがどんな構文(文法みたいなもの)を誤学習してるか、色んな方法で調べてるみたい。具体的には、AIが言葉をちゃんと理解してるかテストしたり、AIに質問して答えを見たりするんだって!🧐
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This paper investigates false positive constructions: grammatical structures which an LLM hallucinates as distinct constructions but which human introspection does not support. Both a behavioural probing task using contextual embeddings and a meta-linguistic probing task using prompts are included, allowing us to distinguish between implicit and explicit linguistic knowledge. Both methods reveal that models do indeed hallucinate constructions. We then simulate hypothesis testing to determine what would have happened if a linguist had falsely hypothesized that these hallucinated constructions do exist. The high accuracy obtained shows that such false hypotheses would have been overwhelmingly confirmed. This suggests that construction probing methods suffer from a confirmation bias and raises the issue of what unknown and incorrect syntactic knowledge these models also possess.