The rise and potential of large language model based agents: A survey

Z **, W Chen, X Guo, W He, Y Ding, B Hong… - Science China …, 2025 - Springer
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt

Y Cao, S Li, Y Liu, Z Yan, Y Dai, PS Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

The llama 3 herd of models

A Dubey, A Jauhri, A Pandey, A Kadian… - arxiv preprint arxiv …, 2024 - arxiv.org
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

Camel: Communicative agents for" mind" exploration of large language model society

G Li, H Hammoud, H Itani… - Advances in Neural …, 2023 - proceedings.neurips.cc
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …

[PDF][PDF] DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

B Wang, W Chen, H Pei, C **e, M Kang, C Zhang, C Xu… - NeurIPS, 2023 - blogs.qub.ac.uk
Abstract Generative Pre-trained Transformer (GPT) models have exhibited exciting progress
in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the …

A categorical archive of chatgpt failures

A Borji - arxiv preprint arxiv:2302.03494, 2023 - arxiv.org
Large language models have been demonstrated to be valuable in different fields. ChatGPT,
developed by OpenAI, has been trained using massive amounts of data and simulates …

Regulating ChatGPT and other large generative AI models

P Hacker, A Engel, M Mauer - Proceedings of the 2023 ACM Conference …, 2023 - dl.acm.org
Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are
rapidly transforming the way we communicate, illustrate, and create. However, AI regulation …

Diffusion models: A comprehensive survey of methods and applications

L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao… - ACM Computing …, 2023 - dl.acm.org
Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …

Ablating concepts in text-to-image diffusion models

N Kumari, B Zhang, SY Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Large-scale text-to-image diffusion models can generate high-fidelity images with powerful
compositional ability. However, these models are typically trained on an enormous amount …

Machine learning for synthetic data generation: a review

Y Lu, M Shen, H Wang, X Wang, C van Rechem… - arxiv preprint arxiv …, 2023 - arxiv.org
Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …