3 papers
quant-ph2026
Quantum Attention by Overlap Interference: Predicting Classical and Many-Body Quantum Sequences
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 by…
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…
cs.CL2022
[Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement
Jille van der Togt, Lea Tiyavorabun, Matteo Rosati +1
Combating bias in NLP requires bias measurement. Bias measurement is almost always achieved by using lexicons of seed terms, i.e. sets of words specifying stereotypes or dimensions…