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A systematic asymmetry in models using chunked KV-cache compression is uncovered: the same information can be easy to retrieve at one phase and difficult at another, revealing periodic weak spots that average benchmark scores can conceal.
Transformers with Temporal Middle-Layer Recurrence (T2MLR), a transformers-based latent reasoning architecture that fuses a cached middle layer representation from the previous token directly into an earlier layer of the current token position, enabling abstract intermediate computation to persist across decoding steps...
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