Multi-Token Prediction via Self-Distillation

Researchers have developed a novel self-distillation technique to accelerate language model inference. This method transforms a standard autoregressive model into a faster multi-token predictor without needing auxiliary models or complex inference pipelines. The resulting model achieves over threefold speedup in decoding with a minimal accuracy drop on benchmarks like GSM8K. AI

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IMPACT Enables faster deployment of existing language models by improving inference efficiency without architectural changes.

RANK_REASON Academic paper detailing a new method for accelerating language model inference.

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• arXiv
• GSM8K
• John Kirchenbauer

• paper
• infra