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+through+the+lens+of+grammatical+gender.+Drawing+inspiration+from+seminal+works+in+psycholinguistics%252C+particularly+the+study+of+gender%27s+influence+on+language+perception%252C+we+leverage+multilingual+LLMs+to+revisit+and+expand+upon+the+foundational+experiments+of+Boroditsky+(2003).+Employing+LLMs+as+a+novel+method+for+examining+psycholinguistic+biases+related+to+grammatical+gender%252C+we+prompt+a+model+to+describe+nouns+with+adjectives+in+various+languages%252C+focusing+specifically+on+languages+with+grammatical+gender.+In+particular%252C+we+look+at+adjective+co-occurrences+across+gender+and+languages%252C+and+train+a+binary+classifier+to+predict+grammatical+gender+given+adjectives+an+LLM+uses+to+describe+a+noun.+Surprisingly%252C+we+find+that+a+simple+classifier+can+not+only+predict+noun+gender+above+chance+but+also+exhibit+cross-language+transferability.+We+show+that+while+LLMs+may+describe+words+differently+in+different+languages%252C+they+are+biased+similarly.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.a89ab1a27e85b887d59b6b9842ec7826%3frik%3dIlrRSyZ%252f7%252b1sxg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Frameworks+and+Tools+Supporting+Multilingual+LLMs&FORM=IRPRST&ck=702121FF48C4165E465F7FCB947574DB&selectedIndex=6&itb=0)
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