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A survey on large language models: Applications, challenges, limitations, and practical usage
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
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 …
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
A paradigm shift from “human writing” to “machine generation” in personality test development: An application of state-of-the-art natural language processing
Natural language processing (NLP) techniques have become increasingly popular in areas
of psychological assessment. Recently, researchers have sought to use NLP techniques for …
of psychological assessment. Recently, researchers have sought to use NLP techniques for …
“Transforming” personality scale development: Illustrating the potential of state-of-the-art natural language processing
Natural language processing (NLP) techniques are becoming increasingly popular in
industrial and organizational psychology. One promising area for NLP-based applications is …
industrial and organizational psychology. One promising area for NLP-based applications is …
Automated scoring of the autobiographical interview with natural language processing
The autobiographical interview has been used in more than 200 studies to assess the
content of autobiographical memories. In a typical experiment, participants recall memories …
content of autobiographical memories. In a typical experiment, participants recall memories …
An analysis of large language models: their impact and potential applications
Large language models (LLMs) have transformed the interpretation and creation of human
language in the rapidly develo** field of computerized language processing. These …
language in the rapidly develo** field of computerized language processing. These …
[KİTAP][B] Transformers for machine learning: a deep dive
Transformers are becoming a core part of many neural network architectures, employed in a
wide range of applications such as NLP, Speech Recognition, Time Series, and Computer …
wide range of applications such as NLP, Speech Recognition, Time Series, and Computer …
Bias in large language models: Origin, evaluation, and mitigation
Large Language Models (LLMs) have revolutionized natural language processing, but their
susceptibility to biases poses significant challenges. This comprehensive review examines …
susceptibility to biases poses significant challenges. This comprehensive review examines …
Language model-accelerated deep symbolic optimization
Symbolic optimization methods have been used to solve varied challenging and relevant
problems such as symbolic regression and neural architecture search. However, the current …
problems such as symbolic regression and neural architecture search. However, the current …