| 1 |
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application |
综述:机器学习方法在多模态脑电临床应用中的系统性研究 |
multimodal |
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| 2 |
Automatically Planning Optimal Parallel Strategy for Large Language Models |
提出一种自动并行算法,为大规模语言模型规划最优并行策略,提升训练吞吐量。 |
large language model |
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| 3 |
Enabling New HDLs with Agents |
提出HDLAgent,提升LLM在新型硬件描述语言上的应用能力 |
large language model |
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| 4 |
MCP-Solver: Integrating Language Models with Constraint Programming Systems |
MCP-Solver:通过模型上下文协议集成语言模型与约束编程系统 |
large language model |
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| 5 |
Adventures in Demand Analysis Using AI |
利用AI多模态表征改进需求分析,提升价格弹性估计的准确性。 |
multimodal |
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| 6 |
SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code |
SPDZCoder:结合专家知识与LLM生成隐私计算代码,无需额外训练数据。 |
large language model |
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| 7 |
The Potential of LLMs in Automating Software Testing: From Generation to Reporting |
提出基于LLM的智能体框架,自动化软件测试流程,提升测试效率。 |
large language model |
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