Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei, Y Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an important component of our daily life, providing personalized suggestions …

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 …

Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component in our daily lives, providing …

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 …

Powerinfer: Fast large language model serving with a consumer-grade gpu

Y Song, Z Mi, H **e, H Chen - Proceedings of the ACM SIGOPS 30th …, 2024 - dl.acm.org
This paper introduces PowerInfer, a high-speed Large Language Model (LLM) inference
engine on a personal computer (PC) equipped with a single consumer-grade GPU. The key …

On protecting the data privacy of large language models (llms): A survey

B Yan, K Li, M Xu, Y Dong, Y Zhang, Z Ren… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

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 …, 2023 - 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 …

LLM4DyG: can large language models solve spatial-temporal problems on dynamic graphs?

Z Zhang, X Wang, Z Zhang, H Li, Y Qin… - Proceedings of the 30th …, 2024 - dl.acm.org
In an era marked by the increasing adoption of Large Language Models (LLMs) for various
tasks, there is a growing focus on exploring LLMs' capabilities in handling web data …

Accessing gpt-4 level mathematical olympiad solutions via monte carlo tree self-refine with llama-3 8b

D Zhang, X Huang, D Zhou, Y Li, W Ouyang - arxiv preprint arxiv …, 2024 - arxiv.org
This paper introduces the MCT Self-Refine (MCTSr) algorithm, an innovative integration of
Large Language Models (LLMs) with Monte Carlo Tree Search (MCTS), designed to …