Abstract: This article is induced by novel decision-making settings entailed in supply chains in the wake of the global tariff crisis in spring 2025. Their context and scope differ from traditional ...
Recent breakthroughs in large language models (LLMs) on complex reasoning tasks have been largely driven by Test-Time Scaling (TTS) — a paradigm that enhances reasoning by intensifying inference-time ...
Objective: Suicidality is highly prevalent with vast public health implications. The association between schizophrenia spectrum disorders (SSDs) and suicidal ideation and related behaviors (SIBs) is ...
An evaluation suite for agentic models in real MCP tool environments (Notion / GitHub / Filesystem / Postgres / Playwright). MCPMark provides a reproducible, extensible benchmark for researchers and ...
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Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...
Background: Patients with liver abscess are at high risk of developing invasive K. pneumonia liver abscess syndrome (IKPLAS), which can worsen survival and quality of life. Early identification of ...
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