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Using LLMs for the Extraction and Normalization of Product Attribute
  Values

Using LLMs for the Extraction and Normalization of Product Attribute Values

4 March 2024
Alexander Brinkmann
Nick Baumann
Christian Bizer
ArXivPDFHTML

Papers citing "Using LLMs for the Extraction and Normalization of Product Attribute Values"

3 / 3 papers shown
Title
EAVE: Efficient Product Attribute Value Extraction via Lightweight
  Sparse-layer Interaction
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
Li Yang
Qifan Wang
Jianfeng Chi
Jiahao Liu
Jingang Wang
Fuli Feng
Zenglin Xu
Yi Fang
Lifu Huang
Dongfang Liu
28
1
0
10 Jun 2024
Large Language Models are Few-Shot Clinical Information Extractors
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal
S. Hegselmann
Hunter Lang
Yoon Kim
David Sontag
BDL
LM&MA
156
332
0
25 May 2022
GENEVA: Benchmarking Generalizability for Event Argument Extraction with
  Hundreds of Event Types and Argument Roles
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles
Tanmay Parekh
I-Hung Hsu
Kuan-Hao Huang
Kai-Wei Chang
Nanyun Peng
48
25
0
25 May 2022
1