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Yifan Zhang's RLT Grows Transformer Depth With Every Token Generated
A new architecture proposes latent reasoning that grows with sequence length, sharing one recurrent state across prompt, response, training, and RL replay.
Source
AlphaSignal
Published
Author
AlphaSignal Newsroom
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1 min read
A new architecture proposes latent reasoning that grows with sequence length, sharing one recurrent state across prompt, response, training, and RL replay.
Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.
