Training 2B/7B language models on right-to-left text factorization yields a reverse posterior scorer that improves math reasoning when combined with forward likelihood.
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LEDOM: Reverse Language Model
Training 2B/7B language models on right-to-left text factorization yields a reverse posterior scorer that improves math reasoning when combined with forward likelihood.