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+enhance+the+capabilities+of+standard+large+language+models+by+integrating+and+processing+data+from+multiple+modalities%252C+including+text%252C+vision%252C+audio%252C+video%252C+and+3D+environments.+Data+plays+a+pivotal+role+in+the+development+and+refinement+of+these+models.+In+this+survey%252C+we+comprehensively+review+the+literature+on+MLLMs+from+a+data-centric+perspective.+Specifically%252C+we+explore+methods+for+preparing+multimodal+data+during+the+pretraining+and+adaptation+phases+of+MLLMs.+Additionally%252C+we+analyze+the+evaluation+methods+for+the+datasets+and+review+the+benchmarks+for+evaluating+MLLMs.+Our+survey+also+outlines+potential+future+research+directions.+This+work+aims+to+provide+researchers+with+a+detailed+understanding+of+the+data-driven+aspects+of+MLLMs%252C+fostering+further+exploration+and+innovation+in+this+field.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.0cd3c398a5bdc3be8ea46eb35401b196%3frik%3dUtoQiiNH0lU5rA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Multimodal+Larege+Language+Modes+Icon&FORM=IRPRST&ck=BDE52706CFCE0F32224023CCCE58BF34&selectedIndex=24&itb=0)
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