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 …

Knowledge editing for large language models: A survey

S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li - ACM Computing Surveys, 2024 - dl.acm.org
Large Language Models (LLMs) have recently transformed both the academic and industrial
landscapes due to their remarkable capacity to understand, analyze, and generate texts …

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 …

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 …

Toolformer: Language models can teach themselves to use tools

T Schick, J Dwivedi-Yu, R Dessì… - Advances in …, 2023 - proceedings.neurips.cc
Abstract Language models (LMs) exhibit remarkable abilities to solve new tasks from just a
few examples or textual instructions, especially at scale. They also, paradoxically, struggle …

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 …

Augmented language models: a survey

G Mialon, R Dessì, M Lomeli, C Nalmpantis… - arxiv preprint arxiv …, 2023 - arxiv.org
This survey reviews works in which language models (LMs) are augmented with reasoning
skills and the ability to use tools. The former is defined as decomposing a potentially …

Whose opinions do language models reflect?

S Santurkar, E Durmus, F Ladhak… - International …, 2023 - proceedings.mlr.press
Abstract Language models (LMs) are increasingly being used in open-ended contexts,
where the opinions they reflect in response to subjective queries can have a profound …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arxiv preprint arxiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

Large language models are human-level prompt engineers

Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis… - arxiv preprint arxiv …, 2022 - arxiv.org
By conditioning on natural language instructions, large language models (LLMs) have
displayed impressive capabilities as general-purpose computers. However, task …