{"total":17,"rows":[{"id":"2507.04590","title":"VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents","created":"2025-07-07","cited_by_count":116,"area":null},{"id":"2509.18095","title":"MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction","created":"2025-09-22","cited_by_count":39,"area":null},{"id":"2601.03666","title":"e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings","created":"2026-01-07","cited_by_count":13,"area":null},{"id":"2602.19549","title":"Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework","created":"2026-02-23","cited_by_count":10,"area":null},{"id":"2510.27571","title":"Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum","created":"2025-10-31","cited_by_count":9,"area":null},{"id":"2511.19278","title":"ReMatch: Boosting Representation through Matching for Multimodal Retrieval","created":"2025-11-24","cited_by_count":8,"area":null},{"id":"2602.19961","title":"Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval","created":"2026-02-23","cited_by_count":8,"area":null},{"id":"2603.01666","title":"Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations","created":"2026-03-02","cited_by_count":4,"area":null},{"id":"2507.20783","title":"On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey","created":"2025-07-28","cited_by_count":3,"area":null},{"id":"2602.05729","title":"Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification","created":"2026-02-05","cited_by_count":3,"area":null},{"id":"2603.02098","title":"Efficient and High-Fidelity Omni Modality Retrieval","created":"2026-03-02","cited_by_count":3,"area":null},{"id":"2511.02358","title":"Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation","created":"2025-11-04","cited_by_count":2,"area":null},{"id":"2603.01493","title":"PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrieval","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2605.19752","title":"MSAlign: Aligning Molecule and Mass Spectra representations for Metabolite Identification","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2608.01794","title":"Illuminating Visual Identity in Universal Multimodal Embeddings","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2608.06060","title":"Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2610.15035","title":"What Really Works for Universal Multimodal Embeddings? A Controlled Study of Contrastive Training Strategies","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}