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  • 论文公开站arXiv

    Base Models Can Reason By Taking a Cue From Training Data

    In this paper, we study how training data creates associations between the tokens at the start of a base model's response and the reasoning behavior that follows. First, we demonstrate that fixing particular starting token cues makes a base model's performance competitive with th