Yifan Zhang's RLT Grows Transformer Depth With Every Token Generated

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

A new architecture proposes latent reasoning that grows with sequence length, sharing one recurrent state across prompt, response, training, and RL replay.

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2026-09-14 01:11 · AlphaSignal
Yifan Zhang's RLT Grows Transformer Depth With Every Token Generated

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