arXiv:2509.00058v1 Announce Type: new Abstract: Recent advances in dysfluency detection have introduced a variety of modeling paradigms, ranging from lightweight…
arXiv:2508.21204v1 Announce Type: new Abstract: We study how architectural inductive biases influence the cognitive behavior of large language models (LLMs)…
arXiv:2508.19563v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are being applied in a wide array of settings, well beyond…
arXiv:2508.21513v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) have recently shown promise as solvers for Boolean Satisfiability Problems (SATs)…
arXiv:2508.19660v2 Announce Type: replace-cross Abstract: Printed electronics offer a promising alternative for applications beyond silicon-based systems, requiring properties like flexibility,…
