arXiv:2604.05896v1 Announce Type: new
Abstract: As robots increasingly operate in shared, safety critical environments, acting safely is no longer sufficient robots must also make their safety decisions intelligible to human collaborators. In human ro…
arXiv:2604.05387v1 Announce Type: cross
Abstract: Large language models (LLMs) have been incorporated into numerous industrial applications. Meanwhile, a vast array of API assets is scattered across various functions in the financial domain. An online…
arXiv:2604.05429v1 Announce Type: cross
Abstract: Addressing the critical need for intelligent, context-aware energy management in renewable systems, we introduce the \textbf{OpenCEM Simulator and Dataset}: the first open-source digital twin explicitl…
arXiv:2604.06067v1 Announce Type: new
Abstract: Robotic imitation learning faces a fundamental trade-off between modeling long-horizon dependencies and enabling fine-grained closed-loop control. Existing fixed-frequency action chunking approaches stru…
arXiv:2603.29875v2 Announce Type: replace-cross
Abstract: One of the key problems in Retrieval-augmented generation (RAG) systems is that chunk-based retrieval pipelines represent the source chunks as atomic objects, mixing the information contained w…
arXiv:2604.03444v2 Announce Type: replace-cross
Abstract: Recent work has demonstrated the potential of non-transformer language models, especially linear recurrent neural networks (RNNs) and hybrid models that mix recurrence and attention. Yet there …
arXiv:2601.11652v2 Announce Type: replace-cross
Abstract: As Large Language Models (LLMs) become increasingly accessible to end users, an ever-growing number of inference requests are initiated from edge devices and computed on centralized GPU cluster…
arXiv:2604.05360v1 Announce Type: cross
Abstract: Gait analysis is essential in post-stroke rehabilitation but remains time-intensive and cognitively demanding, especially when clinicians must integrate gait videos and motion-capture data into structu…
arXiv:2603.14093v3 Announce Type: replace-cross
Abstract: As modern text-to-image (T2I) models draw closer to synthesizing highly realistic content, the threat of unsafe content generation grows, and it becomes paramount to exercise control. Existing …
arXiv:2603.23448v3 Announce Type: replace-cross
Abstract: Software engineering agents have shown significant promise in writing code. As AI agents permeate code writing, and generate huge volumes of code automatically — the matter of code quality com…