Results 41 to 50 of about 520,319 (211)

A Survey of Domain-Specific Fine-Tuned Large Language Models

IEEE Access
The advancement of large language models (LLMs), such as GPT-3, BERT, and Llama, has introduced a new era in natural language processing (NLP) as they have demonstrated exceptional capabilities across diverse tasks.
Paria Sarzaeim, Akramul Azim, Gary Bauer, Masoud Makrehchi   +3 more
doaj   +1 more source

Large Language Models are Catalyzing Chemistry Education [PDF]

Large language models (LLMs) have demonstrated outstanding capabilities in general problem-solving and been shown to improve productivity in certain domains. Thanks to their flexibility, recent work has leveraged them for diverse scientific applications,
Chenru, Duan, Yi, Qu, Yuanqi, Du, Heather, Kulik, Antoine, Bosselut, Andres, Bran, Anna, Sotnikova, Jinjia, Xu, Philippe, Schwaller   +8 more
core   +1 more source

Bridging language gaps in critical care with large language models – Response to Yu [PDF]

We thank the author for their letter titled Bridging language gaps in critical care: Synergizing large language models and professional interpreters for equitable, patient-centred communication,1 published in response to a Current Insights editorial ...
Sundararajan, Krishnaswamy, Bloomer, Melissa   +1 more
core   +1 more source

Accelerating materials language processing with large language models

Communications Materials
Materials language processing (MLP) can facilitate materials science research by automating the extraction of structured data from research papers. Despite the existence of deep learning models for MLP tasks, there are ongoing practical issues associated
Jaewoong Choi, Byungju Lee
doaj   +1 more source

A Survey of Large Language Models

CoRR, 2023
Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach, language modeling has been widely studied for language understanding and generation in the past two decades, evolving ...
Wayne Xin Zhao, Kun Zhou 0002, Junyi Li 0001, Tianyi Tang, Xiaolei Wang 0005, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang 0009, Zican Dong, Yifan Du 0002, Chen Yang 0032, Yushuo Chen, Zhipeng Chen 0001, Jinhao Jiang, Ruiyang Ren, Yifan Li 0009, Xinyu Tang 0004, Zikang Liu 0001, Peiyu Liu 0002, Jian-Yun Nie, Ji-Rong Wen   +21 more
openaire   +2 more sources

Dual Adapter Tuning of Vision–Language Models Using Large Language Models

International Journal of Computational Intelligence Systems
Vision–language models (VLMs) pre-trained on large-scale image–text pairs have shown impressive results in zero-shot vision tasks. Knowledge transferability of these models can be further improved with the help of a limited number of samples.
Mohammad Reza Zarei, Abbas Akkasi, Majid Komeili   +2 more
doaj   +1 more source

Large Language Models Are Biased Because They Are Large Language Models

Computational Linguistics
Abstract This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are ...
openaire   +2 more sources

Fine-tuning Large Language Models for Chemical Text Mining [PDF]

Extracting knowledge from complex and diverse chemical texts is a pivotal task for both experimental and computational chemists. The task is still considered to be extremely challenging due to the complexity of the chemical language and scientific ...
Yitian, Wang, Duanhua, Cao, Runze, Zhang, Qinggong, Wang, Buying, Niu, Mingan, Chen, Ziming, Huang, Lehan, Zhang, Xutong, Li, Qian, Shi, Shengkun, Ni, Zunyun, Fu, Jiacheng, Xiong, Mingyue, Zheng, Zhaoping, Xiong, Xiangtai, Kong, Wei, Zhang   +16 more
core   +1 more source

Large Language Models as Kuwaiti Annotators

Big Data and Cognitive Computing
Stance detection for low-resource languages, such as the Kuwaiti dialect, poses a significant challenge in natural language processing (NLP) due to the scarcity of annotated datasets and specialized tools.
Hana Alostad
doaj   +1 more source

A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

Information Fusion
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation, introducing transformative paradigms for integrating artificial intelligence into medicine.
Hanguang Xiao, Feizhong Zhou, Xingyue Liu, Tianqi Liu, Zhipeng Li, Xin Liu, Xiaoxuan Huang   +6 more
openaire   +2 more sources