3 papers
cs.IR2026
Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio
Niall McGuire, Yashar Moshfeghi
Query formulation from internal information needs remains fundamentally challenging across all Information Retrieval paradigms due to cognitive complexity and physical impairments.…
cs.LG2026
Graph Variate Neural Networks
Om Roy, Yashar Moshfeghi, Keith Smith
Modelling dynamically evolving spatio-temporal signals is a prominent challenge in the Graph Neural Network (GNN) literature. Notably, GNNs assume an existing underlying graph stru…
cs.IR2026
Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
Ritajit Dey, Iadh Ounis, Graham McDonald +1
Large Language Models (LLMs) often struggle with temporal fact conflicts due to outdated or evolving information in their training data. Two recent studies with accompanying datase…