Mm-llms: Recent advances in multimodal large language models
D Zhang, Y Yu, J Dong, C Li, D Su, C Chu… - ar** the generative artificial intelligence (ai) research landscape
TR McIntosh, T Susnjak, T Liu, P Watters… - ar** review
This study systematically reviewed the application of large language models (LLMs) in
medicine, analyzing 550 selected studies from a vast literature search. LLMs like ChatGPT …
medicine, analyzing 550 selected studies from a vast literature search. LLMs like ChatGPT …
Knowledge conflicts for llms: A survey
This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy
Human forecasting accuracy improves through the “wisdom of the crowd” effect, in which
aggregated predictions tend to outperform individual ones. Past research suggests that …
aggregated predictions tend to outperform individual ones. Past research suggests that …
The diversification of methods for studying cell–cell interactions and communication
No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
A review on large Language Models: Architectures, applications, taxonomies, open issues and challenges
Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …
natural language processing (NLP) tasks including language translation, text generation …