Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs-Reference-Cited by-同舟云学术

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs

Published:2024-08-24 Issue: Volume:1 Page:5860-5871
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wang Junjie¹^ORCID,Yang Dan²^ORCID,Hu Binbin²^ORCID,Shen Yue²^ORCID,Zhang Wen³^ORCID,Gu Jinjie²^ORCID

Affiliation:

1. Zhejiang University & Ant Group, Hangzhou, China

2. Ant Group, Hangzhou, China

3. Zhejiang University, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671583

Reference33 articles.

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4. Ruisheng Cao Lu Chen Zhi Chen Yanbin Zhao Su Zhu and Kai Yu. 2021. LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). https://doi.org/10.18653/v1/2021.acl-long.198

5. GLM: General Language Model Pretraining with Autoregressive Blank Infilling