LLMs Survey
[2303.18223] A Survey of Large Language Models - arXiv
... (LLM) for the PLMs of significant size. Recently, the research on LLMs has been largely advanced by both academia and industry, and a ...
[2402.06196] Large Language Models: A Survey - arXiv
In this paper, we review some of the most prominent LLMs, including three popular LLM families (GPT, LLaMA, PaLM), and discuss their characteristics, ...
RUCAIBox/LLMSurvey: The official GitHub page for the survey ...
A collection of papers and resources related to Large Language Models. The organization of papers refers to our survey "A Survey of Large Language Models".
NiuTrans/ABigSurveyOfLLMs: A collection of 150+ surveys on LLMs
This work compiles surveys on LLMs to provide a comprehensive overview of the field. Most of these surveys have been published or posted in the past few years.
Large language models (LLMs): survey, technical frameworks, and ...
It examines the application of LLMs in diverse fields including text generation, vision-language models, personalized learning, biomedicine, and ...
A Comprehensive Survey of Large Language Models (LLMs)
A comprehensive survey of large language models (LLMs). This is probably the most comprehensive survey of all things related to LLMs.
Large Language Models: A Comprehensive Survey of its ... - Authorea
Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense ...
A survey on large language model (LLM) security and privacy
This paper explores the intersection of LLMs with security and privacy. Specifically, we investigate how LLMs positively impact security and privacy.
Efficient Large Language Models: A Survey | OpenReview
In this survey, we provide a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main ...
A Survey on Evaluation of Large Language Models
This paper presents a comprehensive review of these evaluation methods for LLMs, focusing on three key dimensions: what to evaluate, where to evaluate, and how ...
Bias and Fairness in Large Language Models: A Survey
We present a comprehensive survey of bias evaluation and mitigation techniques for LLMs. We first consolidate, formalize, and expand notions of social bias and ...
LLM Survey Report - MLOps Community
The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field.
[PDF] Large Language Models: A Comprehensive Survey of its ...
A short but thorough review of the evolution of LLMs, including their history, architectures, transformers, resources, training methods, applications, impacts, ...
A Survey of Clinicians' Views of the Utility of Large Language Models
In this study, we surveyed diverse practicing clinicians about using LLMs for tasks in clinical practice, research, and education and summarized their ...
Towards Reasoning in Large Language Models: A Survey
This paper provides a comprehensive overview of the current state of knowledge on reasoning in LLMs, including techniques for improving and eliciting reasoning ...
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT ...
LLMs are good at mimicking humans, acting as a chatbot, and performing various kinds of tasks. The LLMs-powered ChatGPT is surprising for its consistency, ...
Employing large language models in survey research - ScienceDirect
LLMs may be used to personalize surveys to individual respondents, tailoring the questions and response options to their individual characteristics and ...
A Survey on the Use of Large Language Models (LLMs) in Fake News
This review article explores the emerging role of Large Language Models (LLMs) in enhancing the detection of fake news and fake profiles.
Synthetic Replacements for Human Survey Data? The Perils of ...
Large language models (LLMs) offer new research possibilities for social scientists, but their potential as “synthetic data” is still ...
Survey Report: Large Language Models in Production - Predibase
To better understand how enterprises are adopting LLMs, we surveyed 150 executives, data scientists, engineers, and product managers to get their opinions ...