arXiv:2603.11975v2 Announce Type: replace-cross Abstract: The rapid evolution of embodied agents has accelerated the deployment of household robots in real-world…
arXiv:2603.12287v1 Announce Type: new Abstract: We address the problem of transforming raw vessel trajectory data collected from AIS into structured…
arXiv:2603.12480v1 Announce Type: cross Abstract: Generative flow and diffusion models provide the continuous, multimodal action distributions needed for high-precision robotic…
arXiv:2603.12895v1 Announce Type: cross Abstract: Integrating Large Language Models (LLMs) into business process management tools promises to democratize Business Process…
arXiv:2603.12458v1 Announce Type: cross Abstract: While Large Language Models (LLMs) achieve expert-level performance on standard medical benchmarks through single-hop factual…
arXiv:2603.12500v1 Announce Type: cross Abstract: We present a Temporal Rule-Anchored Chain-of-Evidence (TRACE) on knowledge graphs for interpretable stock movement prediction…
arXiv:2603.13044v1 Announce Type: cross Abstract: Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinical decision support…
arXiv:2603.13056v1 Announce Type: cross Abstract: Continuous emotion recognition in terms of valence and arousal under in-the-wild (ITW) conditions remains a…
arXiv:2603.12183v2 Announce Type: replace-cross Abstract: Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We…
arXiv:2603.12325v1 Announce Type: cross Abstract: Efficient exploration remains a central challenge in reinforcement learning, serving as a useful pretraining objective…
