arXiv:2509.00072v4 Announce Type: replace
Abstract: Post-cutoff performance decay of LLMs has been widely interpreted as a temporal signal for benchmark contamination, where public information released before the training cutoff may have been included…
arXiv:2605.13318v1 Announce Type: new
Abstract: Chatbot usage has increased, including in fields for which they were never developed for–notably mental health support. To that end, we introduce Validations of Ethical and Responsible AI in Mental Heal…
arXiv:2605.08935v2 Announce Type: replace
Abstract: Coupled spatiotemporal forecasting is important for predicting the future evolution of multiple interacting dynamical systems, such as in climate models. However, existing methods are severely constr…
arXiv:2605.10267v3 Announce Type: replace
Abstract: In industrial procurement, an LLM answer is useful only if it survives a standards check: recommended material must match operating condition, every parameter must respect a regulated threshold, and …
arXiv:2605.13391v1 Announce Type: new
Abstract: The rise of multi-modal large language models (MLLMs) is shifting remote sensing (RS) intelligence from “see” to “action”, as OpenClaw-style frameworks enable agents to autonomously operate massive RS im…
arXiv:2605.13527v1 Announce Type: new
Abstract: Reusable skills have become a core substrate for improving agent capabilities, yet most existing skill packages encode reusable behavior primarily as textual prompts, executable code, or learned routines…
arXiv:2602.11202v3 Announce Type: replace-cross
Abstract: Reasoning models produce long traces of intermediate decisions and tool calls, making test-time verification important for ensuring correctness. Existing approaches either verify only the final…
arXiv:2605.13542v1 Announce Type: new
Abstract: Intensive care units (ICU) generate long, dense and evolving streams of clinical information, where physicians must repeatedly reassess patient states under time pressure, underscoring a clear need for r…
arXiv:2605.13625v1 Announce Type: new
Abstract: Autonomous agents such as Claude Code and Codex now operate for hours or even days. Understanding their runtime behavior has become critical for downstream tasks such as diagnosing inefficiencies, fixing…
arXiv:2605.13725v1 Announce Type: new
Abstract: Large language model (LLM)-based multi-agent simulation offers a powerful testbed for studying social opinion dynamics. Yet current approaches often adopt two contrasting methods: either relying on fixed…