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 …

[HTML][HTML] The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges

A Bandi, PVSR Adapa, YEVPK Kuchi - Future Internet, 2023 - mdpi.com
Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …

[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 …

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 …

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 …

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 …

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 …

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 …

Data-centric artificial intelligence: A survey

D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang… - ACM Computing …, 2025 - dl.acm.org
Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …