Large Language Models for Recommendation: Progresses and Future Directions-Reference-Cited by-同舟云学术

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Large Language Models for Recommendation: Progresses and Future Directions

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
language:
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Author:

Bao Keqin¹,Zhang Jizhi¹,Zhang Yang¹,Wenjie Wang²,Feng Fuli¹,He Xiangnan¹

Affiliation:

1. University of Science and Technology in China, China

2. National University of Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624918.3629550

Reference67 articles.

1. Information Retrieval meets Large Language Models: A strategic report from Chinese IR community

2. Rohan Anil 2023. Palm 2 technical report. arXiv preprint arXiv:2305.10403 ( 2023 ). Rohan Anil 2023. Palm 2 technical report. arXiv preprint arXiv:2305.10403 (2023).

3. Yuntao Bai 2022. Constitutional ai: Harmlessness from ai feedback. arXiv preprint arXiv:2212.08073 ( 2022 ). Yuntao Bai 2022. Constitutional ai: Harmlessness from ai feedback. arXiv preprint arXiv:2212.08073 (2022).

4. Yuntao Bai 2022. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:2204.05862 ( 2022 ). Yuntao Bai 2022. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:2204.05862 (2022).

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