Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities

H Zhou, C Hu, Y Yuan, Y Cui, Y **… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …

[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 …

Large language models are zero-shot rankers for recommender systems

Y Hou, J Zhang, Z Lin, H Lu, R **e, J McAuley… - … on Information Retrieval, 2024 - Springer
Recently, large language models (LLMs)(eg, GPT-4) have demonstrated impressive general-
purpose task-solving abilities, including the potential to approach recommendation tasks …

A survey on large language models for recommendation

L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin… - World Wide Web, 2024 - Springer
Abstract Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant attention in the …

Recommendation as instruction following: A large language model empowered recommendation approach

J Zhang, R **e, Y Hou, X Zhao, L Lin… - ACM Transactions on …, 2023 - dl.acm.org
In the past decades, recommender systems have attracted much attention in both research
and industry communities. Existing recommendation models mainly learn the underlying …

Towards open-world recommendation with knowledge augmentation from large language models

Y **, W Liu, J Lin, X Cai, H Zhu, J Zhu, B Chen… - Proceedings of the 18th …, 2024 - dl.acm.org
Recommender system plays a vital role in various online services. However, its insulated
nature of training and deploying separately within a specific closed domain limits its access …

A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges

X Li, S Wang, S Zeng, Y Wu, Y Yang - Vicinagearth, 2024 - Springer
The pursuit of more intelligent and credible autonomous systems, akin to human society, has
been a long-standing endeavor for humans. Leveraging the exceptional reasoning and …

Agent hospital: A simulacrum of hospital with evolvable medical agents

J Li, Y Lai, W Li, J Ren, M Zhang, X Kang… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent rapid development of large language models (LLMs) has sparked a new wave of
technological revolution in medical artificial intelligence (AI). While LLMs are designed to …

A survey on the memory mechanism of large language model based agents

Z Zhang, X Bo, C Ma, R Li, X Chen, Q Dai, J Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …

How can recommender systems benefit from large language models: A survey

J Lin, X Dai, Y **, W Liu, B Chen, H Zhang… - ACM Transactions on …, 2025 - dl.acm.org
With the rapid development of online services and web applications, recommender systems
(RS) have become increasingly indispensable for mitigating information overload and …