For An Exciting Tomorrow
arXiv:2509.26432v2 Announce Type: replace-cross Abstract: Diffusion-based large language models (dLLMs) are gaining attention for their inherent capacity for parallel decoding,…
arXiv:2510.00694v1 Announce Type: cross Abstract: We introduce ALARB, a dataset and suite of tasks designed to evaluate the reasoning capabilities…
arXiv:2510.00691v1 Announce Type: cross Abstract: Ensuring accessibility for individuals with cognitive impairments is essential for autonomy, self-determination, and full citizenship.…
arXiv:2509.26371v2 Announce Type: replace-cross Abstract: Recently, there has been growing interest in characterizing the function spaces underlying neural networks. While…
arXiv:2509.25229v1 Announce Type: new Abstract: We introduce Blueprint-Bench, a benchmark designed to evaluate spatial reasoning capabilities in AI models through…
arXiv:2509.25077v2 Announce Type: replace-cross Abstract: Monocular Depth Estimation (MDE) is a foundational task for computer vision. Traditional methods are limited…
arXiv:2509.25933v1 Announce Type: cross Abstract: Differentiable Logic Gate Networks (DLGNs) are a very fast and energy-efficient alternative to conventional feed-forward…
arXiv:2509.25927v1 Announce Type: cross Abstract: Deep neural networks remain vulnerable to adversarial examples despite advances in architectures and training paradigms.…
arXiv:2509.24361v2 Announce Type: replace-cross Abstract: Although Multimodal Large Language Models (MLLMs) have been widely applied across domains, they are still…