MARA aligns LLMs with human preferences by training a 4M-parameter MLP to accept or reject candidate tokens, avoiding full-model fine-tuning, with measured gains based on the same reward models used in training.
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Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models
MARA aligns LLMs with human preferences by training a 4M-parameter MLP to accept or reject candidate tokens, avoiding full-model fine-tuning, with measured gains based on the same reward models used in training.