Autoregressive language models are equivalent to energy-based models through a bijection that corresponds to the soft Bellman equation, explaining their lookahead capabilities despite next-token training.
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Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
Autoregressive language models are equivalent to energy-based models through a bijection that corresponds to the soft Bellman equation, explaining their lookahead capabilities despite next-token training.