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+is+then+used+to+auto-label+millions+of+videos+to+generate+high-quality+captions.+We+show+the+adapted+video-language+model+performs+well+on+a+wide+range+of+video-language+benchmarks.+For+instance%252C+it+surpasses+the+best+prior+result+on+open-ended+NExT-QA+by+2.8%2525.+Besides%252C+our+model+generates+detailed+descriptions+for+previously+unseen+videos%252C+which+provide+better+textual+supervision+than+existing+methods.+Experiments+show+that+a+video-language+dual-encoder+model+contrastively+trained+on+these+auto-generated+captions+is+3.8%2525+better+than+the+strongest+baseline+that+also+leverages+vision-language+models.+Our+best+model+outperforms+state-of-the-art+methods+on+MSR-VTT+zero-shot+text-to-video+retrieval+by+6%2525.+As+a+side+product%252C+we+generate+the+largest+video+caption+dataset+to+date.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.d21f74b59ce8926a1025fa181cb09732%3frik%3dDU5dHlAWRuqRsA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Vision+Language+Model+Output&simid=608032667109696033&FORM=IRPRST&ck=D0A7CA2E8231FC06DC025C03ADAAD41E&selectedIndex=14&itb=0)
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