{"total":18,"rows":[{"id":"2302.10035","title":"Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey","created":"2023-02-20","cited_by_count":153,"area":null},{"id":"2310.02227","title":"SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training","created":"2023-10-03","cited_by_count":47,"area":null},{"id":"2403.01431","title":"Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval","created":"2024-03-03","cited_by_count":14,"area":null},{"id":"2209.15214","title":"Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph","created":"2022-09-30","cited_by_count":13,"area":null},{"id":"2304.02853","title":"Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce","created":"2023-04-06","cited_by_count":8,"area":null},{"id":"2602.22732","title":"Generative Recommendation for Large-Scale Advertising","created":"2026-02-26","cited_by_count":7,"area":null},{"id":"2308.09708","title":"Training with Product Digital Twins for AutoRetail Checkout","created":"2023-08-18","cited_by_count":4,"area":null},{"id":"2308.05550","title":"Cross-Domain Product Representation Learning for Rich-Content E-Commerce","created":"2023-08-10","cited_by_count":3,"area":null},{"id":"2206.08842","title":"Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval","created":"2022-06-17","cited_by_count":2,"area":null},{"id":"2306.05001","title":"COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2408.02978","title":"ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval","created":"2024-08-06","cited_by_count":1,"area":null},{"id":"2401.04575","title":"Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding","created":"2024-01-09","cited_by_count":0,"area":null},{"id":"2501.07304","title":"Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis","created":"2025-01-13","cited_by_count":0,"area":null},{"id":"2505.13249","title":"RN-F: A Novel Approach for Mitigating Contaminated Data in Large Language Models","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2509.21365","title":"MAJORScore: A Novel Metric for Evaluating Multimodal Relevance via Joint Representation","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2510.13131","title":"OS-HGAdapter: Open Semantic Hypergraph Adapter for Large Language Models Assisted Entropy-Enhanced Image-Text Alignment","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2604.20135","title":"AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2605.18434","title":"TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}