RecExplainer: Aligning Large Language Models for Explaining Recommendation Models-Reference-Cited by-同舟云学术

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models

Published:2024-08-24 Issue: Volume:1341 Page:1530-1541
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Lei Yuxuan¹^ORCID,Lian Jianxun²^ORCID,Yao Jing²^ORCID,Huang Xu¹^ORCID,Lian Defu¹^ORCID,Xie Xing²^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Microsoft Research Asia, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671802

Reference53 articles.

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3. Jianbo Chen, Le Song, Martin Wainwright, and Michael Jordan. 2018. Learning to explain: An information-theoretic perspective on model interpretation. In International conference on machine learning. PMLR, 883--892.

4. Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al. 2023. Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality. See https://vicuna. lmsys. org (accessed 14 April 2023) (2023).