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.+However%252C+they+are+not+inherently+designed+for+query+generation.+To+bridge+this+gap%252C+solutions+have+been+proposed+that+rely+on+fine-tuning+or+ad-hoc+architectures%252C+achieving+good+results+but+limited+out-of-domain+distribution+generalization.+In+this+study%252C+we+introduce+a+novel+approach+called+Dynamic+Few-Shot+Learning+(DFSL).+DFSL+integrates+the+efficiency+of+in-context+learning+and+semantic+similarity+and+provides+a+generally+applicable+solution+for+KGQA+with+state-of-the-art+performance.+We+run+an+extensive+evaluation+across+multiple+benchmark+datasets+and+architecture+configurations.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.824850e9d03aa800fda77b1e83d6e786%3frik%3dIuF2MKZTH3xLIA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Few+Shot+Learning+Knowledge+Graph&FORM=IRPRST&ck=1AAF20C70C8EA0FB734BA5FBDC5DEC84&selectedIndex=4&itb=0)
