@FinanceYF5: Next token prediction is short-sighted. What if the Transformer learns to predict its own next hidden state? Jayden Teoh proposes Next-Latent Prediction (NextLat): a self-supervised learning method that teaches the Transformer to form...
Summary
Jayden Teoh proposes Next-Latent Prediction (NextLat), a self-supervised learning method that teaches the Transformer to learn to predict the next hidden state, thereby forming a compact world model for reasoning and planning, and achieves up to 3.3x inference speedup through self-speculative decoding.
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Cached at: 06/26/26, 10:09 AM
Next token prediction is shortsighted. What if Transformers learn to predict their own next latent state? Jayden Teoh proposes Next-Latent Prediction (NextLat): a self-supervised learning method that teaches Transformers to form compact world models for reasoning and planning. It also boosts inference speed by up to 3.3x via self-speculative decoding!🚀 https://t.co/LC3T0ZX9Pq
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