English

Neuromodulation Gated Transformer

Computation and Language 2023-05-15 v2

Abstract

We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect. We compare it to baselines and show that it results in the best average performance on the SuperGLUE benchmark validation sets.

Cite

@article{arxiv.2305.03232,
  title  = {Neuromodulation Gated Transformer},
  author = {Kobe Knowles and Joshua Bensemann and Diana Benavides-Prado and Vithya Yogarajan and Michael Witbrock and Gillian Dobbie and Yang Chen},
  journal= {arXiv preprint arXiv:2305.03232},
  year   = {2023}
}

Comments

8 pages, 1 figure, 4 tables, ICLR 2023 Tiny Papers

R2 v1 2026-06-28T10:26:21.091Z