| 1 |
Are large language models superhuman chemists? |
提出ChemBench框架以评估大型语言模型的化学能力 |
large language model |
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| 2 |
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model |
提出TWIN-GPT以解决临床试验数据不足问题 |
large language model |
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| 3 |
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey |
提出机器遗忘技术以应对个人数据隐私挑战 |
large language model |
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| 4 |
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models |
提出隐私后门攻击以增强成员推断能力 |
large language model foundation model |
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| 5 |
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation |
提出GRIFFIN以解决大语言模型生成中的计算效率问题 |
large language model |
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| 6 |
What is in Your Safe Data? Identifying Benign Data that Breaks Safety |
提出双向锚定方法以识别破坏安全的良性数据 |
large language model |
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| 7 |
Can LLMs get help from other LLMs without revealing private information? |
提出隐私保护的级联系统以优化LLMs的协作学习 |
large language model |
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