Boltzmann attention augments query-key attention with learnable Ising pairwise couplings, yielding consistent gains over softmax attention on character language modeling and bracket matching that increase with sequence length.
Dynamical mean-field theory of self-attention neural networks.arXiv preprint arXiv:2406.07247, 2024
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Mean-field equations for attention retrieval, teacher alignment, and logic overlap quantitatively match simulations and predict a sharp accuracy transition in a solvable transformer for permutation state tracking.
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Boltzmann Attention: Learnable Ising Couplings for Cooperative Attention
Boltzmann attention augments query-key attention with learnable Ising pairwise couplings, yielding consistent gains over softmax attention on character language modeling and bracket matching that increase with sequence length.