Survey on factuality in large language models: Knowledge, retrieval and domain-specificity

C Wang, X Liu, Y Yue, X Tang, T Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Qwen technical report

J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be exclusive to …

Wizardlm: Empowering large language models to follow complex instructions

C Xu, Q Sun, K Zheng, X Geng, P Zhao, J Feng… - arxiv preprint arxiv …, 2023 - arxiv.org
Training large language models (LLMs) with open-domain instruction following data brings
colossal success. However, manually creating such instruction data is very time-consuming …

Aligning large language models with human: A survey

Y Wang, W Zhong, L Li, F Mi, X Zeng, W Huang… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) trained on extensive textual corpora have emerged as
leading solutions for a broad array of Natural Language Processing (NLP) tasks. Despite …

WizardLM: Empowering large pre-trained language models to follow complex instructions

C Xu, Q Sun, K Zheng, X Geng, P Zhao… - The Twelfth …, 2024 - openreview.net
Training large language models (LLMs) with open-domain instruction following data brings
colossal success. However, manually creating such instruction data is very time-consuming …

Huatuogpt, towards taming language model to be a doctor

H Zhang, J Chen, F Jiang, F Yu, Z Chen, J Li… - arxiv preprint arxiv …, 2023 - arxiv.org
In this paper, we present HuatuoGPT, a large language model (LLM) for medical
consultation. The core recipe of HuatuoGPT is to leverage both\textit {distilled data from …

Huatuo: Tuning llama model with chinese medical knowledge

H Wang, C Liu, N **, Z Qiang, S Zhao, B Qin… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs), such as the LLaMA model, have demonstrated their
effectiveness in various general-domain natural language processing (NLP) tasks …

Datasets for large language models: A comprehensive survey

Y Liu, J Cao, C Liu, K Ding, L ** - arxiv preprint arxiv:2402.18041, 2024 - arxiv.org
This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …

Multilingual large language model: A survey of resources, taxonomy and frontiers

L Qin, Q Chen, Y Zhou, Z Chen, Y Li, L Liao… - arxiv preprint arxiv …, 2024 - arxiv.org
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …