3 citations · 8 across the 7 of their papers we have counts for
8 papers
Quantum Graph Convolutional Networks: Implementation and Trainability Analysis
Paul San Sebastian Sein, Theodor Iosif, Tilen G. Limbäck-Stokin +2
Graph Neural Networks (GNNs) achieve state-of-the-art performance on graph-structured data, but training and inference on large graphs are often bottlenecked by memory constraints…
The Limits of Binding in Dual Encoders
Kin Ian Lo
Dual-encoder models such as CLIP score an image-caption pair by a single inner product of two independently computed unit vectors, and fail at binding, often scoring near chance wh…
DisCoCLIP: A Distributional Compositional Tensor Network Encoder for Vision-Language Understanding
Kin Ian Lo, Hala Hawashin, Mina Abbaszadeh +3
Recent vision-language models excel at large-scale image-text alignment but often neglect the compositional structure of language, leading to failures on tasks that hinge on word o…
Quantum-Like Contextuality in Large Language Models
Kin Ian Lo, Mehrnoosh Sadrzadeh, Shane Mansfield
Contextuality is a distinguishing feature of quantum mechanics and there is growing evidence that it is a necessary condition for quantum advantage. In order to make use of it, res…
Developments in Sheaf-Theoretic Models of Natural Language Ambiguities
Kin Ian Lo, Mehrnoosh Sadrzadeh, Shane Mansfield
Sheaves are mathematical objects consisting of a base which constitutes a topological space and the data associated with each open set thereof, e.g. continuous functions defined on…
Generalised Winograd Schema and its Contextuality
Kin Ian Lo, Mehrnoosh Sadrzadeh, Shane Mansfield
Ambiguities in natural language give rise to probability distributions over interpretations. The distributions are often over multiple ambiguous words at a time; a multiplicity whi…
A Model of Anaphoric Ambiguities using Sheaf Theoretic Quantum-like Contextuality and BERT
Kin Ian Lo, Mehrnoosh Sadrzadeh, Shane Mansfield
Ambiguities of natural language do not preclude us from using it and context helps in getting ideas across. They, nonetheless, pose a key challenge to the development of competent…
A Quantum Natural Language Processing Approach to Pronoun Resolution
Hadi Wazni, Kin Ian Lo, Lachlan McPheat +1
We use the Lambek Calculus with soft sub-exponential modalities to model and reason about discourse relations such as anaphora and ellipsis. A semantics for this logic is obtained…