A brief overview of ChatGPT: The history, status quo and potential future development

T Wu, S He, J Liu, S Sun, K Liu… - IEEE/CAA Journal of …, 2023‏ - ieeexplore.ieee.org
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

Foundation models for generalist medical artificial intelligence

M Moor, O Banerjee, ZSH Abad, HM Krumholz… - Nature, 2023‏ - nature.com
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …

[PDF][PDF] A survey of large language models

WX Zhao, K Zhou, J Li, T Tang… - arxiv preprint arxiv …, 2023‏ - paper-notes.zhjwpku.com
Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

L Huang, W Yu, W Ma, W Zhong, Z Feng… - ACM Transactions on …, 2025‏ - dl.acm.org
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

Unifying large language models and knowledge graphs: A roadmap

S Pan, L Luo, Y Wang, C Chen… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

G Team, P Georgiev, VI Lei, R Burnell, L Bai… - arxiv preprint arxiv …, 2024‏ - arxiv.org
In this report, we introduce the Gemini 1.5 family of models, representing the next generation
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …

[PDF][PDF] The dawn of lmms: Preliminary explorations with gpt-4v (ision)

Z Yang, L Li, K Lin, J Wang, CC Lin… - arxiv preprint arxiv …, 2023‏ - stableaiprompts.com
Large multimodal models (LMMs) extend large language models (LLMs) with multi-sensory
skills, such as visual understanding, to achieve stronger generic intelligence. In this paper …

C-pack: Packed resources for general chinese embeddings

S **ao, Z Liu, P Zhang, N Muennighoff, D Lian… - Proceedings of the 47th …, 2024‏ - dl.acm.org
We introduce C-Pack, a package of resources that significantly advances the field of general
text embeddings for Chinese. C-Pack includes three critical resources. 1) C-MTP is a …

Improving factuality and reasoning in language models through multiagent debate

Y Du, S Li, A Torralba, JB Tenenbaum… - Forty-first International …, 2023‏ - openreview.net
Large language models (LLMs) have demonstrated remarkable capabilities in language
generation, understanding, and few-shot learning in recent years. An extensive body of work …