Graph-based Multilingual Product Retrieval in E-Commerce Search (2021.naacl-industry)
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| Challenge: | Modern e-commerce search systems require product retrieval under multilingual scenarios. |
| Approach: | They propose a universal multilingual retrieval system that captures interactions between search queries and items in e-commerce search. |
| Outcome: | The proposed system outperforms state-of-the-art retrieval models on five countries and has been deployed in production for multiple countries. |
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| Challenge: | Existing approaches to multilingual knowledge graph completion have two drawbacks: alignment dependency and training inefficiency. |
| Approach: | They propose a multilingual knowledge graph completion framework with language-sensitive multi-graph attention to predict missing links on all given KGs. |
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Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction (2025.emnlp-industry)
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| Challenge: | E-commerce stores increasingly use Large Language Models to improve catalog data quality . a critical challenge is accurately predicting missing structured attribute values . |
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Adapting Vision-Language Models for E-commerce Understanding at Scale (2026.eacl-industry)
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Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, Christian Herold, Michael Kozielski, Marcin Mazur, Szymon Tuzel, Cees G. M. Snoek, Seyyed Hadi Hashemi, Omar Javed, Yannick Versley, Shahram Khadivi
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GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval (2022.emnlp-main)
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| Challenge: | Existing approaches to text-video retrieval are limited due to structural and semantic differences between text and video. |
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Multi-lingual neural title generation for e-Commerce browse pages (N18-3)
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| Challenge: | e-Commerce websites are automatically generating millions of browse pages . manual creation of titles is infeasible due to the huge number of browse page types . |
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Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes (2023.acl-industry)
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| Challenge: | E-commerce websites often don’t label or mislabel attributes of products . |
| Approach: | They propose a multi-modal product attribute generation system that extracts product attributes from the product pages of eCommerce stores by using both text and images. |
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MSG-LLM: A Multi-scale Interactive Framework for Graph-enhanced Large Language Models (2025.coling-main)
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| Challenge: | Existing graph-enhanced large language models (LLMs) focus on matching subgraphs between subgraph and candidate subgraph at the same scale, neglecting that subgraph with different scales may also share similar semantics or structures. |
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Multi-lingual Entity Discovery and Linking (P18-5)
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| Challenge: | This tutorial reviews the framework of cross-lingual EL and motivates it as a broad paradigm for the Information Extraction task. |
| Approach: | This tutorial will review the framework of cross-lingual EL and motivate it as a broad paradigm for the Information Extraction task. |
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Graph-Augmented Open-Domain Multi-Document Summarization (2025.coling-industry)
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| Challenge: | Existing methods for summarizing documents neglect the relationships between documents . existing methods treat retrieval and summarization as separate tasks . |
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X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension (D19-61)
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| Challenge: | Existing knowledge bases are heavily biased towards English, but Wikipedias cover very different topics in different languages. |
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