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arXiv:2602.23410v1 Announce Type: cross Abstract: Brain foundation models have achieved remarkable advances across a wide range of neuroscience tasks. However, most existing models are limited …
arXiv:2602.23438v1 Announce Type: cross Abstract: Graphic layouts serve as an important and engaging medium for visual communication across different channels. While recent layout generation models …
arXiv:2602.23446v1 Announce Type: cross Abstract: Large language models are trained primarily on human-generated data and feedback, yet they exhibit persistent errors arising from annotation noise, …
arXiv:2602.23447v1 Announce Type: cross Abstract: Detection of rare lesions in whole-body CT is fundamentally limited by extreme class imbalance and low target-to-volume ratios, producing precision …
arXiv:2602.23455v1 Announce Type: cross Abstract: Lightweight neural network accelerators are essential for edge devices with limited resources and power constraints. While quantization and binarization can …
arXiv:2602.23468v1 Announce Type: cross Abstract: Multi-Agent Path Finding (MAPF) aims to move agents from their start to goal vertices on a graph. Lifelong MAPF (LMAPF) …
arXiv:2602.23499v1 Announce Type: cross Abstract: Collecting a high-quality dataset is a critical task that demands meticulous attention to detail, as overlooking certain aspects can render …
arXiv:2602.23440v1 Announce Type: new Abstract: Training large language models to reason with search engines via reinforcement learning is hindered by a fundamental credit assignment problem: …
arXiv:2602.23452v1 Announce Type: new Abstract: Scientific research relies on accurate citation for attribution and integrity, yet large language models (LLMs) introduce a new risk: fabricated …
arXiv:2602.23479v1 Announce Type: new Abstract: Though patients are increasingly granted digital access to their electronic health records (EHRs), existing interfaces may not support precise, trustworthy …
arXiv:2602.23481v1 Announce Type: new Abstract: Understanding and extracting structured insights from unstructured documents remains a foundational challenge in industrial NLP. While Large Language Models (LLMs) …
arXiv:2603.00267v1 Announce Type: new Abstract: Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating robust and scalable fact-checking that …