arXiv:2510.27324v1 Announce Type: cross Abstract: We consider the problem of ultra-low bit rate visual communication for remote vision analysis, human interactions and control in challenging
arXiv:2510.26905v1 Announce Type: new Abstract: Cyber-physical systems increasingly rely on Foundational Models such as Large Language Models (LLMs) and Vision-Language Models (VLMs) to increase autonomy
arXiv:2510.16559v3 Announce Type: replace Abstract: Engineering construction automation aims to transform natural language specifications into physically viable structures, requiring complex integrated reasoning under strict physical
arXiv:2510.26989v1 Announce Type: new Abstract: The global agricultural sector is undergoing a transformative shift, driven by increasing food demands, climate variability and the need for
arXiv:2503.16724v3 Announce Type: replace Abstract: Semantic interpretability in Reinforcement Learning (RL) enables transparency and verifiability of decision-making. Achieving semantic interpretability in reinforcement learning requires (1)
arXiv:2510.26967v1 Announce Type: cross Abstract: The main goal of this paper is to study how often cookie banners that comply with the General Data Protection
arXiv:2510.26852v1 Announce Type: new Abstract: Large Language Model (LLM) agents have evolved from basic text generation to autonomously completing complex tasks through interaction with external
arXiv:2510.27171v1 Announce Type: cross Abstract: Diffusion models have emerged as state-of-the-art in image generation, but their practical deployment is hindered by the significant computational cost
arXiv:2510.26697v2 Announce Type: replace-cross Abstract: The “end-to-end” label for LLMs is a misnomer. In practice, they depend on a non-differentiable decoding process that requires laborious,
arXiv:2510.27207v1 Announce Type: cross Abstract: Explainable AI (XAI) is critical for building trust in complex machine learning models, yet mainstream attribution methods often provide an
Copyright 2025 dijee Intelligence Ltd. dijee Intelligence Ltd. is a private limited company registered in England and Wales at Media House, Sopers Road, Cuffley, Hertfordshire, EN6 4RY, UK registeration number 16808844