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Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...
Seeking the Pareto-Nash equilibrium in multi-agent, multi-objective general-sum games (MMGSG) poses a significant challenge, particularly in accurately capturing individual preferences and adhering to ...
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This paper introduces a novel approach, MIDAS, leveraging a multi-level intent, domain, and slot knowledge distillation for multi-turn NLU. To achieve this, we construct distinct teachers for varying ...
We highlight four design principles for no-code multi-agent developer tools and contribute an open-source implementation on GitHub. AUTOGEN STUDIO provides a backend api (web, python, cli) and a UI ...
Researchers report the results obtained from the use of a new PRS calculator called CT-SLEB on a multi-national GWAS database.
Based on the above problems, we propose a multi-level residual feature fusion network (MLRFNet) for classifying thoracic diseases. Our approach can quickly capture receptive field information across ...