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…
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…
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…
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…
Neural-Symbolic Logic Query Answering in Non-Euclidean Space
arXiv:2603.15633v1 Announce Type: new Abstract: Answering complex first-order logic (FOL) queries on knowledge graphs is essential for reasoning. Symbolic methods…
Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask
arXiv:2603.15584v2 Announce Type: replace-cross Abstract: Physics-informed neural networks (PINNs) and neural operators (NOs) for solving the problem of diffraction of…
Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI
arXiv:2603.16351v1 Announce Type: cross Abstract: Accurate taxonomic identification of parasitoid wasps within the superfamily Ichneumonoidea is essential for biodiversity assessment,…
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.…
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).…
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…