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arXiv:2604.25374v1 Announce Type: cross Abstract: \textbf{Background:} Dutch medical corpora are scarce, limiting NLP development. \\ \textbf{Methods:} We trans

arXiv:2604.25376v1 Announce Type: cross Abstract: Accurate brain lesion segmentation in MRI is vital for effective clinical diagnosis and treatment planning. Du

arXiv:2604.25379v1 Announce Type: cross Abstract: Ensuring safety during reinforcement learning (RL) training is critical in real-world applications where unsaf

arXiv:2604.25383v1 Announce Type: cross Abstract: To establish empathy with machines, it is essential to fully understand human emotional changes. However, rese

arXiv:2604.25389v1 Announce Type: cross Abstract: Despite AI tools becoming increasingly embedded in academic practice, little is known about how university stu

arXiv:2604.25415v1 Announce Type: cross Abstract: AI chatbots are increasingly used for health advice, but their performance in psychiatric triage remains under

arXiv:2604.25421v1 Announce Type: cross Abstract: Federated fine-tuning provides a practical route to adapt large language models (LLMs) on edge devices without

arXiv:2604.25423v1 Announce Type: cross Abstract: Do large language models (LLMs) truly acquire embodied cognition and cultural conventions from text? We introd

arXiv:2604.25455v1 Announce Type: cross Abstract: Web accessibility rests on static standards and developer compliance. That model frays in platforms where cont

arXiv:2604.25456v1 Announce Type: cross Abstract: We investigate linguistic biases in LLM-based restaurant and product recommendations given prompts varying acr

arXiv:2604.25477v1 Announce Type: cross Abstract: Recent image editing models have achieved strong visual fidelity but often struggle with tasks requiring compl

arXiv:2604.25482v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, m

arXiv:2604.25491v1 Announce Type: cross Abstract: Current watermark removal methods are evaluated on two axes: attack success rate and perceptual quality. We sh

arXiv:2604.25498v1 Announce Type: cross Abstract: Generating symphonic music requires simultaneously managing high-level structural form and dense, multi-track

arXiv:2604.25506v1 Announce Type: cross Abstract: Designing the architecture of modern networked systems requires navigating a large, combinatorial space of har

arXiv:2604.25526v1 Announce Type: cross Abstract: AI tools are being deployed over MBSE models today, and those models were not designed for this kind of consum

arXiv:2604.25530v2 Announce Type: cross Abstract: Recent knowledge distillation (KD) methods for semantic segmentation introduce increasingly complex hand-craft

arXiv:2604.25544v1 Announce Type: cross Abstract: Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industria

arXiv:2604.25551v1 Announce Type: cross Abstract: Recurrent Graph Neural Networks (RGNNs) extend standard GNNs by iterating message-passing until some stopping

arXiv:2604.25555v1 Announce Type: cross Abstract: Enterprise software engineering is shifting away from deterministic CRUD/REST architectures toward AI-native s

arXiv:2604.25562v1 Announce Type: cross Abstract: Web agents have emerged as an effective paradigm for automating interactions with complex web environments, ye

arXiv:2604.25568v1 Announce Type: cross Abstract: Accurate bandgap prediction is crucial for semiconductor applications, yet machine learning models trained on

arXiv:2604.25578v1 Announce Type: cross Abstract: We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE fea

arXiv:2604.25591v1 Announce Type: cross Abstract: Recent audio-aware large language models (ALLMs) have demonstrated strong capabilities across diverse audio un