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

Opentag: Open attribute value extraction from product profiles

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Scaling up open tagging from tens to thousands: Comprehension empowered attribute value extraction from product title

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Learning to extract attribute value from product via question answering: A multi-task approach

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Multimodal joint attribute prediction and value extraction for E-commerce product

Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, and Bowen Zhou. 2020 · 2020

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Learning transferable visual models from natural language supervision

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Earlier work this paper cites.

Zero-shot text-to-image generation

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AdaTag: Multi-attribute value extraction from product profiles with adaptive decoding

Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, and Xin Luna Dong. 2021 · 2021

Earlier work this paper cites.

All you need to know to build a product knowledge graph

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Mave: A product dataset for multi-source attribute value extraction

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Qwen-vl: A frontier large vision-language model with versatile abilities

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InstructBLIP: Towards general-purpose vision-language models with instruction tuning

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Large scale generative multimodal attribute extraction for E-commerce attributes

Anant Khandelwal, Happy Mittal, Shreyas Kulkarni, and Deepak Gupta. 2023 · 2023

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Cheap and quick: Efficient vision-language instruction tuning for large language models

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MixPAVE: Mix-prompt tuning for few-shot product attribute value extraction

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, and Dongfang Liu. 2023 · 2023

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mplug-owl: Modularization empowers large language models with multimodality

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Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, et al. 2023 · 2023

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Pay attention to implicit attribute values: A multi-modal generative framework for AVE task

Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, and Hongzhi Zhang. 2023 · 2023

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Musechat: A conversational music recommendation system for videos

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