2 papers
quant-ph2026
Quantum Attention by Overlap Interference: Predicting Sequences from Classical and Many-Body Quantum Data
Alessio Pecilli, Matteo Rosati
We propose a variational quantum implementation of self-attention (QSA), the core operation in transformers and large language models, which predicts future elements of a sequence…
cs.CL2023
Probing LLMs for Joint Encoding of Linguistic Categories
Giulio Starace, Konstantinos Papakostas, Rochelle Choenni +4
Large Language Models (LLMs) exhibit impressive performance on a range of NLP tasks, due to the general-purpose linguistic knowledge acquired during pretraining. Existing model int…