[HTML][HTML] Summary of chatgpt-related research and perspective towards the future of large language models

Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li… - Meta-Radiology, 2023 - Elsevier
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4)
research, state-of-the-art large language models (LLM) from the GPT series, and their …

[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4

KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Harnessing the power of llms in practice: A survey on chatgpt and beyond

J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang… - ACM Transactions on …, 2024 - dl.acm.org
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …

[HTML][HTML] Large language models for generative information extraction: A survey

D Xu, W Chen, W Peng, C Zhang, T Xu, X Zhao… - Frontiers of Computer …, 2024 - Springer
Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …

[PDF][PDF] Is information extraction solved by chatgpt? an analysis of performance, evaluation criteria, robustness and errors

R Han, T Peng, C Yang, B Wang, L Liu… - arXiv preprint arXiv …, 2023 - researchgate.net
ChatGPT has stimulated the research boom in the field of large language models. In this
paper, we assess the capabilities of ChatGPT from four perspectives including Performance …

Domain specialization as the key to make large language models disruptive: A comprehensive survey

C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

[HTML][HTML] Leveraging generative AI and large Language models: a Comprehensive Roadmap for Healthcare Integration

P Yu, H Xu, X Hu, C Deng - Healthcare, 2023 - mdpi.com
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …

On llms-driven synthetic data generation, curation, and evaluation: A survey

L Long, R Wang, R Xiao, J Zhao, X Ding… - arXiv preprint arXiv …, 2024 - arxiv.org
Within the evolving landscape of deep learning, the dilemma of data quantity and quality has
been a long-standing problem. The recent advent of Large Language Models (LLMs) offers …

Red-teaming large language models using chain of utterances for safety-alignment

R Bhardwaj, S Poria - arXiv preprint arXiv:2308.09662, 2023 - arxiv.org
Larger language models (LLMs) have taken the world by storm with their massive multi-
tasking capabilities simply by optimizing over a next-word prediction objective. With the …