EngGPT2: Sovereign, Efficient and Open Intelligence
arXiv:2603.16430v2 Announce Type: replace-cross Abstract: EngGPT2-16B-A3B is the latest iteration of Engineering Group’s Italian LLM and it’s built to be…
Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)
arXiv:2603.17715v1 Announce Type: cross Abstract: Previous work has reported that vision foundation models show promising zero-shot performance in eye image…
Machine Learning for Network Attacks Classification and Statistical Evaluation of Machine Learning for Network Attacks Classification and Adversarial Learning Methodologies for Synthetic Data Generation
arXiv:2603.17717v1 Announce Type: cross Abstract: Supervised detection of network attacks has always been a critical part of network intrusion detection…
DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping
arXiv:2603.16806v2 Announce Type: replace-cross Abstract: To meet the demands of increasingly diverse dexterous hand hardware, it is crucial to develop…
Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
arXiv:2603.17021v1 Announce Type: new Abstract: Socio-environmental planning under deep uncertainty requires researchers to identify and conceptualize problems before exploring policies…
Diverse AI Personas Can Mitigate the Homogenization Effect in Human-AI Collaborative Ideation
arXiv:2504.13868v2 Announce Type: replace-cross Abstract: Recent studies suggest that while generative AI (GenAI) can enhance individual creativity, it often reduces…
Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models
arXiv:2603.04722v2 Announce Type: replace Abstract: Model Medicine is the science of understanding, diagnosing, treating, and preventing disorders in AI models,…
Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction
arXiv:2506.14837v2 Announce Type: replace-cross Abstract: Recently, multimodal large language models (MLLMs) have attracted increasing research attention due to their powerful…
RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance
arXiv:2603.15484v2 Announce Type: replace-cross Abstract: Diffusion models have significantly mitigated the impact of annotated data scarcity in remote sensing (RS).…
Explainable machine learning workflows for radio astronomical data processing
arXiv:2603.16350v1 Announce Type: cross Abstract: Radio astronomy relies heavily on efficient and accurate processing pipelines to deliver science ready data.…