LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
为解决制造过程中标注时间序列数据稀缺的问题，本文提出了一种基于大型语言模型生成合成时间序列数据的新框架，并通过微调和检索增强生成技术提高数据多样性和真实性。
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Representative Papers
Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning
本文提出了一种通过合成思维链和难度感知微调的方法，将推理能力高效地蒸馏到小型视频-语言模型中，以解决视频问答问题。
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Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation
本文通过PRiSM方法将黑盒临床预测模型转换为透明的独立列线图，以提高可审计性，并在50,356名心脏移植受者中验证了其有效性。
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Decoding Decision Correctness from EEG Under High Cognitive Workload in Virtual Reality: Implications for Collaborative Brain-Computer Interface Teams
研究通过EEG在高认知负荷下预测决策正确性，提出基于EEG的信号可在决策前提高团队决策准确性，尤其在高工作负荷条件下。
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Irreducibility of Semigroup Morphisms
This study addresses the irreducibility of semigroup homomorphisms—specifically, whether a given homomorphism cannot be decomposed into a composition of two nontrivial homomorphisms. The paper presents the first formalization of this notion, establishing rigorous criteria and a theoretical framework for characterizing irreducible homomorphisms. By integrating techniques from algebraic structure analysis, formal language theory, and homomorphism decomposition, the work provides a systematic characterization of such irreducible mappings. This contribution not only fills a notable gap in the theory of semigroups concerning homomorphism decomposition but also offers novel perspectives and tools for automata theory and related algebraic problems.
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LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
为解决制造过程中标注时间序列数据稀缺的问题，本文提出了一种基于大型语言模型生成合成时间序列数据的新框架，并通过微调和检索增强生成技术提高数据多样性和真实性。
0 citationsRead paper
Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning
本文提出了一种通过合成思维链和难度感知微调的方法，将推理能力高效地蒸馏到小型视频-语言模型中，以解决视频问答问题。
0 citationsRead paper
Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation
本文通过PRiSM方法将黑盒临床预测模型转换为透明的独立列线图，以提高可审计性，并在50,356名心脏移植受者中验证了其有效性。
0 citationsRead paper
Decoding Decision Correctness from EEG Under High Cognitive Workload in Virtual Reality: Implications for Collaborative Brain-Computer Interface Teams
研究通过EEG在高认知负荷下预测决策正确性，提出基于EEG的信号可在决策前提高团队决策准确性，尤其在高工作负荷条件下。
0 citationsRead paper
Irreducibility of Semigroup Morphisms
This study addresses the irreducibility of semigroup homomorphisms—specifically, whether a given homomorphism cannot be decomposed into a composition of two nontrivial homomorphisms. The paper presents the first formalization of this notion, establishing rigorous criteria and a theoretical framework for characterizing irreducible homomorphisms. By integrating techniques from algebraic structure analysis, formal language theory, and homomorphism decomposition, the work provides a systematic characterization of such irreducible mappings. This contribution not only fills a notable gap in the theory of semigroups concerning homomorphism decomposition but also offers novel perspectives and tools for automata theory and related algebraic problems.
0 citationsRead paper