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Gleb Gerasimov

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You Do Not Fully Utilize Transformer's Representation Capacity

Layer-Integrated Memory (LIMe) is introduced, a lightweight extension that leverages existing key-value buffers and learns per-head, per-layer routing weights to integrate representations from previous layers to improve perplexity per FLOP and yield strong gains on synthetic tasks while preserving higher value-vector e...

Gleb Gerasimov, Yaroslav Aksenov, Nikita Balagansky et al. · 4 citations
#machine learning Preprint Aug 2026

A Model with No Head and Many Thoughts

This work introduces Soft Latent Thinking, a method that replaces the LM head during reasoning with a lightweight projector, enabling autoregressive rollout in embedding space where reasoning steps remain continuous rather than tokenized.

N. Koriagin, Yaroslav Aksenov, George Bredis et al. · 0 citations

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