April 16, 2024, 4:43 a.m. | Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.08886v1 Announce Type: cross
Abstract: 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 or text, rely heavily on extensive labeled data, and can easily confuse similar attribute values. To address these issues, we introduce EIVEN, a data- and parameter-efficient generative framework that pioneers the use of multimodal LLM for implicit …

abstract arxiv commerce cs.ai cs.cl cs.cv cs.ir cs.lg data e-commerce efficiency embedded experience extraction however images improving llm multimodal multimodal data product retailers struggle text type value values

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A

GN SONG MT Market Research Data Analyst 09

@ Accenture | Bengaluru, BDC7A