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A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)

Applied Sciences
Natural language processing (NLP) has significantly transformed in the last decade, especially in the field of language modeling. Large language models (LLMs) have achieved SOTA performances on natural language understanding (NLU) and natural language ...
Rajvardhan Patil, Venkat Gudivada
doaj   +4 more sources

AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development [PDF]

Journal of Advanced Research
Background: Due to the recent revolution of artificial intelligence (AI), AI-enabled large language models (LLMs) have flourished and started to be applied in various sectors of science and medicine.
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee, Arpita Das, Sang-Soo Lee   +5 more
doaj   +4 more sources

Temporal evolution of large language models (LLMs) in oncology [PDF]

Journal of Translational Medicine
Background Large language models (LLMs) are increasingly being applied in healthcare; however, their performance in specialized fields, such as oncology, is subject to temporal factors, including knowledge decay and concept drift.
Zilin Qiu, Aimin Jiang, Chang Qi, Wenyi Gan, Lingxuan Zhu, Weiming Mou, Dongqiang Zeng, Mingjia Xiao, Guangdi Chu, Shengkun Peng, Hank Z. H. Wong, Lin Zhang, Hengguo Zhang, Xinpei Deng, Quan Cheng, Bufu Tang, Yaxuan Wang, Jian Zhang, Anqi Lin, Peng Luo   +19 more
doaj   +2 more sources

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs). [PDF]

NPJ Digit Med
With the introduction of ChatGPT, Large Language Models (LLMs) have received enormous attention in healthcare. Despite potential benefits, researchers have underscored various ethical implications.
Haltaufderheide J, Ranisch R.
europepmc   +3 more sources

Large language models (LLMs) as agents for augmented democracy. [PDF]

Philos Trans A Math Phys Eng Sci
We explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens’ preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil’s 2022 ...
Gudiño JF, Grandi U, Hidalgo C.
europepmc   +2 more sources

GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review

International Journal of Digital Earth
The launch of large language models (LLMs) like ChatGPT in late 2022 and the anticipated arrival of future GPT-x iterations have marked the beginning of the generative artificial intelligence (GAI) era.
Xinyue Ye, Zhenlong Li, Ce Zhang
exaly   +2 more sources

Large language models (LLMs): survey, technical frameworks, and future challenges

Artificial Intelligence Review
Artificial intelligence (AI) has significantly impacted various fields. Large language models (LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-1 Jumbo etc., have contributed to our understanding and application of AI in these domains, along ...
Pranjal Kumar, Kumar Pranjal
exaly   +2 more sources

Harnessing large language models (LLMs) for candidate gene prioritization and selection [PDF]

Journal of Translational Medicine, 2023
Background Feature selection is a critical step for translating advances afforded by systems-scale molecular profiling into actionable clinical insights.
Mohammed Toufiq, Darawan Rinchai, Eleonore Bettacchioli, Basirudeen Syed Ahamed Kabeer, Taushif Khan, Bishesh Subba, Olivia White, Marina Yurieva, Joshy George, Noemie Jourde-Chiche, Laurent Chiche, Karolina Palucka, Damien Chaussabel   +12 more
doaj   +2 more sources

Causality Extraction from Medical Text Using Large Language Models (LLMs)

Information
This study explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from clinical practice guidelines (CPGs).
Seethalakshmi Gopalakrishnan, Luciana Garbayo, Wlodek Zadrozny   +2 more
doaj   +3 more sources

Enhancing Arabic aspect category detection using large language models (LLMs)

Results in Engineering
Large language models (LLMs) have revolutionized the world of natural language processing (NLP) by breaking through a variety of tasks, such as text generation, translation, and text summarization. In this study, we tackle aspect-based sentiment analysis
Lachhab Youssef, Ziyati Elhoussaine, Naim Soufiane, Moumkine Noureddine   +3 more
doaj   +3 more sources