arXiv:2605.00737v1 Announce Type: new
Abstract: Agentic AI architectures augment LLMs with external tools, unlocking strong capabilities. However, tool use is not always beneficial; some calls may be redundant or even harmful. Effective tool use, ther…
arXiv:2604.28158v2 Announce Type: replace
Abstract: Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In particular, it does no…
arXiv:2605.00043v1 Announce Type: cross
Abstract: Big data platforms are widely used in modern enterprises, and an in-production intelligent assistant is increasingly important to help users quickly find actionable guidance and reduce operational burd…
arXiv:2508.19932v2 Announce Type: replace
Abstract: The proliferation of digital payment platforms has transformed commerce, offering unmatched convenience and accessibility globally. However, this growth has also attracted malicious actors, leading t…
arXiv:2605.00072v1 Announce Type: cross
Abstract: We present XekRung, a frontier large language model for cybersecurity, designed to provide comprehensive security capabilities. To achieve this, we develop diverse data synthesis pipelines tailored to …
arXiv:2510.15949v4 Announce Type: replace-cross
Abstract: Large language models show promise for financial decision-making, yet deploying them as autonomous trading agents raises fundamental challenges: how to adapt instructions when rewards arrive la…
arXiv:2512.09169v2 Announce Type: replace-cross
Abstract: We present a novel multi-stage workflow for computational materials discovery that achieves a 99% success rate in identifying compounds within 100 meV/atom of thermodynamic stability, with a th…
arXiv:2602.00074v2 Announce Type: replace-cross
Abstract: While large language models (LLMs) can support clinical documentation needs, standalone tools struggle with “workflow friction” from manual data entry. We developed ChatEHR, a system that enabl…
arXiv:2605.00197v1 Announce Type: cross
Abstract: Studies attempting to simulate human behavior with $\textit{Silicon Societies}$ grow in numbers while LLM-only social networks have started appearing outside of controlled settings. However, the design…
arXiv:2605.00254v1 Announce Type: cross
Abstract: Mixture-of-experts (MoE) architectures have turned LLM serving into a cluster-scale workload in which communication consumes a considerable portion of LLM serving runtime. This has prompted industry to…