Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation

J Zhang, K Bao, Y Zhang, W Wang, F Feng… - Proceedings of the 17th …, 2023 - dl.acm.org
The remarkable achievements of Large Language Models (LLMs) have led to the
emergence of a novel recommendation paradigm—Recommendation via LLM (RecLLM) …

Item-side Fairness of Large Language Model-based Recommendation System

M Jiang, K Bao, J Zhang, W Wang, Z Yang… - Proceedings of the …, 2024 - dl.acm.org
Recommendation systems for Web content distribution intricately connect to the information
access and exposure opportunities for vulnerable populations. The emergence of Large …

Tallrec: An effective and efficient tuning framework to align large language model with recommendation

K Bao, J Zhang, Y Zhang, W Wang, F Feng… - Proceedings of the 17th …, 2023 - dl.acm.org
Large Language Models (LLMs) have demonstrated remarkable performance across
diverse domains, thereby prompting researchers to explore their potential for use in …

Llmrec: Benchmarking large language models on recommendation task

J Liu, C Liu, P Zhou, Q Ye, D Chong, K Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has
significantly advanced NLP tasks by enhancing the capabilities of conversational models …

Up5: Unbiased foundation model for fairness-aware recommendation

W Hua, Y Ge, S Xu, J Ji, Y Zhang - arXiv preprint arXiv:2305.12090, 2023 - arxiv.org
Recent advancements in foundation models such as large language models (LLM) have
propelled them to the forefront of recommender systems (RS). Moreover, fairness in RS is …

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

J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
With the rapid development of online services, recommender systems (RS) have become
increasingly indispensable for mitigating information overload. Despite remarkable …

Evaluating chatgpt as a recommender system: A rigorous approach

D Di Palma, GM Biancofiore, VW Anelli… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent popularity surrounds large AI language models due to their impressive natural
language capabilities. They contribute significantly to language-related tasks, including …

LlamaRec: Two-stage recommendation using large language models for ranking

Z Yue, S Rabhi, GSP Moreira, D Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, large language models (LLMs) have exhibited significant progress in language
understanding and generation. By leveraging textual features, customized LLMs are also …

Tutorial on large language models for recommendation

W Hua, L Li, S Xu, L Chen, Y Zhang - … of the 17th ACM Conference on …, 2023 - dl.acm.org
Foundation Models such as Large Language Models (LLMs) have significantly advanced
many research areas. In particular, LLMs offer significant advantages for recommender …

A survey on large language models for recommendation

L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen… - arXiv preprint arXiv …, 2023 - arxiv.org
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 domain of …