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SLPHypothesis Examples
.+In+this+paper%252C+we+examine+the+potential+of+large+language+models+(LLMs)+to+generate+hypotheses.+We+focus+on+hypothesis+generation+based+on+data+(i.e.%252C+labeled+examples).+To+enable+LLMs+to+handle+arbitrarily+long+contexts%252C+we+generate+initial+hypotheses+from+a+small+number+of+examples+and+then+update+them+iteratively+to+improve+the+quality+of+hypotheses.+Inspired+by+multi-armed+bandits%252C+we+design+a+reward+function+to+inform+the+exploitation-exploration+tradeoff+in+the+update+process.+Our+algorithm+is+able+to+generate+hypotheses+that+enable+much+better+predictive+performance+than+few-shot+prompting+in+classification+tasks%252C+improving+accuracy+by+31.7%2525+on+a+synthetic+dataset+and+by+13.9%2525%252C+3.3%2525+and%252C+24.9%2525+on+three+real-world+datasets.+We+also+outperform+supervised+learning+by+12.8%2525+and+11.2%2525+on+two+challenging+real-world+datasets.+Furthermore%252C+we+find+that+the+generated+hypotheses+not+only+corroborate+human-verified+theories+but+also+uncover+new+insights+for+the+tasks.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.da35a55fd5642931c286db78eb8815b1%3frik%3dB42ufgG3N4vUKg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=SLP+Hypothesis+Examples&FORM=IRPRST&ck=C366D1440AB64DAAEE4DFE847180F69F&selectedIndex=28&itb=0)
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