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arXiv:2505.06149v1 Announce Type: new Abstract: Despite growing interest in automated hate speech detection, most existing approaches overlook the linguistic diversity...
arXiv:2502.01210v2 Announce Type: replace Abstract: Short-term phonetic accommodation is a fundamental driver behind accent change, but how does real-time input...
arXiv:2411.11053v5 Announce Type: replace Abstract: Large language models demonstrate exceptional performance in simple code generation tasks but still face challenges...
Language processing in enterprise environments faces critical challenges as business workflows increasingly depend on synthesising information from diverse sources, including...
Much like HTTP and REST standardized how web applications connect to services, MCP standardizes how AI models connect to tools.Read...
LLMs have made impressive gains in complex reasoning, primarily through innovations in architecture, scale, and training approaches like RL. RL...
Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical...
Sparse large language models (LLMs) based on the Mixture of Experts (MoE) framework have gained traction for their ability to...
AI models today are expected to handle complex tasks such as solving mathematical problems, interpreting logical statements, and assisting with...
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