LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction-Reference-Cited by-同舟云学术

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction

Published:2024-07-10 Issue: Volume:24 Page:2910-2914
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Fang Chenhao¹^ORCID,Li Xiaohan²^ORCID,Fan Zezhong²^ORCID,Xu Jianpeng²^ORCID,Nag Kaushiki²^ORCID,Korpeoglu Evren²^ORCID,Kumar Sushant²^ORCID,Achan Kannan²^ORCID

Affiliation:

1. University of Wisconsin-Madison, Madison, WI, USA

2. Walmart Global Tech, Sunnyvale, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3661357

Reference38 articles.

1. Large language models are few-shot clinical information extractors

2. Ansel Blume, Nasser Zalmout, Heng Ji, and Xian Li. 2023. Generative Models for Product Attribute Extraction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track. 575--585.

3. Alexander Brinkmann, Roee Shraga, and Christian Bizer. 2023. Product Attribute Value Extraction using Large Language Models. arXiv preprint arXiv:2310.12537 (2023).

4. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901.

5. Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason HD Cho, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, and Kannan Achan. 2023. Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. arXiv preprint arXiv:2305.09858 (2023).

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1. Relation labeling in product knowledge graphs with large language models for e-commerce;International Journal of Machine Learning and Cybernetics;2024-08-15

2. Using LLMs for the Extraction and Normalization of Product Attribute Values;Lecture Notes in Computer Science;2024