Henry Zou — accepted AI-conference papers

2024

EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM

Henry Zou, Gavin Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai +2

NAACL 2024industry

In e-commerce, accurately extracting product attribute values from multimodal data is crucial for improving user experience and operational efficiency of retailers. However, previous approaches to multimodal attribute value extraction often struggle with implicit attribute values embedded in images…

Cited by 18 Source ↗PDF ↗code ↗Scholar ↗

2024

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction

Henry Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song +2

ACL 2024findings

Existing datasets for attribute value extraction (AVE) predominantly focus on explicit attribute values while neglecting the implicit ones, lack product images, are often not publicly available, and lack an in-depth human inspection across diverse domains. To address these limitations, we present Im…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗