Base Models Can Reason by Taking a Cue from Training Data
It has been demonstrated that base language models can enhance reasoning abilities using cues from training data.
Recent research shows that base language models can significantly enhance their reasoning capabilities by using specific opening tokens derived from training data. This study explores how these tokens can be effectively utilized and their implications. For instance, using a token like "Okay" can boost the model's accuracy from 41.5% to 76.9%, marking a significant advancement for engineers.
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