MAVE

Author:

Yang Li1,Wang Qifan1,Yu Zac2,Kulkarni Anand2,Sanghai Sumit1,Shu Bin2,Elsas Jon2,Kanagal Bhargav1

Affiliation:

1. Google Research, Mountain View, CA, USA

2. Google, Pittsburgh, PA, USA

Publisher

ACM

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Mixture of Experts based on Large Language Models for Low-Resource Data Preprocessing;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Exploring generative frameworks for product attribute value extraction;Expert Systems with Applications;2024-06

4. Multi-Label Zero-Shot Product Attribute-Value Extraction;Proceedings of the ACM Web Conference 2024;2024-05-13

5. An Effective Model based on CNN - LSTM for E-Commerce Product Title Classification;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

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