Real-Time Instrument Planning and Perception for Novel Measurements of Dynamic Phenomena
arXiv:2509.03500v1 Announce Type: cross Abstract: Advancements in onboard computing mean remote sensing agents can employ state-of-the-art computer vision and machine…
HydroVision: Predicting Optically Active Parameters in Surface Water Using Computer Vision
arXiv:2509.01882v2 Announce Type: replace-cross Abstract: Ongoing advancements in computer vision, particularly in pattern recognition and scene classification, have enabled new…
Applying genomic AI to combat antibiotic resistance in low-income countries
Nature Machine Intelligence, Published online: 04 September 2025; doi:10.1038/s42256-025-01108-5 Applying genomic AI to combat antibiotic resistance in low-income countries
A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models
arXiv:2509.00058v1 Announce Type: new Abstract: Recent advances in dysfluency detection have introduced a variety of modeling paradigms, ranging from lightweight…
ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding
arXiv:2508.21496v2 Announce Type: replace-cross Abstract: Video multimodal large language models (Video-MLLMs) have achieved remarkable progress in video understanding. However, they…
Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry
arXiv:2509.01620v1 Announce Type: cross Abstract: The rapid development of advanced large language models (LLMs) has made AI-generated text indistinguishable from…
Disentangling the schema turn: Restoring the information base to conceptual modelling
arXiv:2509.01617v1 Announce Type: cross Abstract: If one looks at contemporary mainstream development practices for conceptual modelling in computer science, these…
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
arXiv:2508.21113v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) equipped with step-by-step thinking capabilities have demonstrated remarkable performance on…