| Challenge: | e-commerce product summarization requires consistency between product attributes and summary . inconsistent product summaries can mislead users and decrease public credibility . |
| Approach: | They propose a model to generate e-commerce product summaries with product attributes . they encode product attribute table and constrain attribute words to be presented only through copying . |
| Outcome: | The proposed model significantly improves the faithfulness of e-commerce product summarization tasks. |
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Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya
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| Challenge: | Upon closer inspection, we found inconsistencies in the labeling of similar items. |
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| Challenge: | Existing product summarization methods lack end-to-end product summaries and multi-grained multi-modal modeling. |
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| Challenge: | eC-Tab2Text dataset is designed to capture product attributes and user-specific queries. |
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| Challenge: | Existing datasets that test incrementally update entity summaries are lacking. |
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LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following (2025.coling-main)
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Generative Models for Product Attribute Extraction (2023.emnlp-industry)
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| Challenge: | generative models are used for product attribute extraction, a new field in information extraction and e-commerce. |
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