Results 211 to 220 of about 239,466 (252)

Comparison of local large language models for extraction of signs and symptoms data from electronic health records. [PDF]

PLoS One
Spiero I, Rijk MH, Scheeres MA, Rutten FH, Geersing GJ, Platteel TN, Moons KGM, Hooft L, Damen JAA, Venekamp RP, Leeuwenberg AM.   +10 more
europepmc   +1 more source

Bilingual evaluation of large language models for patient education in refractive surgery. [PDF]

Int J Ophthalmol
Tsai TH, Tsai CL, Hsu JH, Hsiao CH, Chen HC.   +4 more
europepmc   +1 more source

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Large Language Models are Zero-Shot Reasoners

Neural Information Processing Systems, 2022
Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars. Notably, chain of thought (CoT) prompting, a recent technique
Takeshi Kojima, S. Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa   +4 more
semanticscholar   +1 more source

A Survey of Large Language Models

Frontiers Comput. Sci., 2023
The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications.
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Z. Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, J. Nie, Ji-rong Wen   +21 more
semanticscholar   +1 more source

Jailbreaking Black Box Large Language Models in Twenty Queries

2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
There is growing interest in ensuring that large language models (LLMs) align with human values. However, the alignment of such models is vulnerable to adversarial jailbreaks, which coax LLMs into overriding their safety guardrails. The identification of
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George Pappas, Eric Wong   +5 more
semanticscholar   +1 more source

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Neural Information Processing Systems, 2023
Program synthesis has been long studied with recent approaches focused on directly using the power of Large Language Models (LLMs) to generate code.
Jiawei Liu, Chun Xia, Yuyao Wang, Lingming Zhang   +3 more
semanticscholar   +1 more source

On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

International Conference on Mathematics and Computing
Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform writing ...
Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng   +6 more
semanticscholar   +1 more source