| 1 |
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach |
提出基于大语言模型的边缘设备分布式威胁情报框架，提升网络边缘安全。 |
large language model |
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| 2 |
Automated Repair of AI Code with Large Language Models and Formal Verification |
利用大语言模型和形式化验证自动修复AI代码中的内存安全漏洞 |
large language model |
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| 3 |
When Large Language Models Meet Optical Networks: Paving the Way for Automation |
提出LLM赋能的光网络框架，实现物理层智能控制和应用层高效交互 |
large language model |
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| 4 |
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset |
PolyGlotFake：提出一种新型多语言多模态DeepFake数据集，用于提升检测技术。 |
multimodal |
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| 5 |
What is it for a Machine Learning Model to Have a Capability? |
提出机器学习模型能力评估的条件分析方法CAMA，用于量化模型的能力。 |
large language model |
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| 6 |
PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs |
PromptMind团队提出基于集成LLM的EHRSQL生成方法，提升SQL生成可靠性 |
large language model |
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| 7 |
MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming |
提出MTP：一种面向AI集成编程的语义类型语言抽象，简化LLM集成。 |
large language model |
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| 8 |
Navigating LLM Ethics: Advancements, Challenges, and Future Directions |
探讨LLM伦理挑战与未来方向，应对幻觉、问责与审查难题 |
large language model |
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