Articles with "language models" as a keyword



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ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing

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Published in 2023 at "Journal of the Association for Information Science and Technology"

DOI: 10.1002/asi.24750

Abstract: This article discusses OpenAI's ChatGPT, a generative pre‐trained transformer, which uses natural language processing to fulfill text‐based user requests (i.e., a “chatbot”). The history and principles behind ChatGPT and similar models are discussed. This technology… read more here.

Keywords: large language; language; scholarly publishing; artificial intelligence ... See more keywords
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Learning the protein language: Evolution, structure, and function.

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Published in 2021 at "Cell systems"

DOI: 10.1016/j.cels.2021.05.017

Abstract: Language models have recently emerged as a powerful machine-learning approach for distilling information from massive protein sequence databases. From readily available sequence data alone, these models discover evolutionary, structural, and functional organization across protein space.… read more here.

Keywords: language models; protein language; function; language ... See more keywords
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Language models are an effective representation learning technique for electronic health record data

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Published in 2021 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2020.103637

Abstract: Widespread adoption of electronic health records (EHRs) has fueled the development of using machine learning to build prediction models for various clinical outcomes. However, this process is often constrained by having a relatively small number… read more here.

Keywords: prediction; electronic health; language models; representation ... See more keywords
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Tunable discounting and visual exploration for language models

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Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.08.145

Abstract: Abstract A language model is fundamental to many applications in natural language processing. Most language models are trained on a large amount of dataset and difficult to be adapted to other domains which may have… read more here.

Keywords: language models; mkn; model; tunable discounting ... See more keywords
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Do Large Language Models Understand Chemistry? A Conversation with ChatGPT

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Published in 2023 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.3c00285

Abstract: Large language models (LLMs) have promised a revolution in answering complex questions using the ChatGPT model. Its application in chemistry is still in its infancy. This viewpoint addresses the question of how well ChatGPT understands… read more here.

Keywords: large language; chemistry; models understand; understand chemistry ... See more keywords
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The Debate Over Understanding in AI's Large Language Models

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Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2215907120

Abstract: We survey a current, heated debate in the artificial intelligence (AI) research community on whether large pretrained language models can be said to understand language-and the physical and social situations language encodes-in any humanlike sense.… read more here.

Keywords: large language; debate understanding; intelligence; language ... See more keywords
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Embracing ChatGPT: Implications of Emergent Language Models for Academia and Libraries

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Published in 2023 at "Technical Services Quarterly"

DOI: 10.1080/07317131.2023.2187110

Abstract: ABSTRACT ChatGPT is a new generative artificial intelligence (AI) chatbot that has been gathering significant attention since its release at the end of 2022. There are many reasons for the onslaught of discussion in the… read more here.

Keywords: chatgpt implications; implications emergent; embracing chatgpt; emergent language ... See more keywords
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Continual Knowledge Infusion into Pre-trained Biomedical Language Models.

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Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab671

Abstract: MOTIVATION Biomedical language models produce meaningful concept representations that are useful for a variety of biomedical natural language processing (bioNLP) applications such as named entity recognition, relationship extraction, and question answering. Recent research trends have… read more here.

Keywords: information; biomedical language; language models; continual knowledge ... See more keywords
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NetSolP: predicting protein solubility in Escherichia coli using language models

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Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab801

Abstract: MOTIVATION Solubility and expression levels of proteins can be a limiting factor for large-scale studies and industrial production. By determining the solubility and expression directly from the protein sequence, the success rate of wet-lab experiments… read more here.

Keywords: language models; escherichia coli; netsolp predicting; predicting protein ... See more keywords
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The use of ChatGPT and other large language models in surgical science

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Published in 2023 at "BJS Open"

DOI: 10.1093/bjsopen/zrad032

Abstract: potential benefits of RPD, its role in the treatment of pancreatic head cancer remains uncertain. There is a need for well-designed studies to compare the efficacy and safety of RPD versus conventional open PD This… read more here.

Keywords: large language; language models; use chatgpt; chatgpt large ... See more keywords
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Special Topic: AI Algorithms and Cases: To Energize Digital Economy Gradient-free tuning for large language models competition: approaches, results, current challenges and future directions

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Published in 2023 at "National Science Review"

DOI: 10.1093/nsr/nwad124

Abstract: This perspective presents a brief overview of the background of Gradient-free tuning for large language models competition, the championship scheme, as well as the challenges and future directions. read more here.

Keywords: large language; gradient free; models competition; free tuning ... See more keywords