{"total":22,"rows":[{"id":"2506.18902","title":"jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval","created":"2025-06-23","cited_by_count":76,"area":null},{"id":"2411.06176","title":"M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework","created":"2024-11-09","cited_by_count":36,"area":null},{"id":"2406.18587","title":"Nomic Embed Vision: Expanding the Latent Space","created":"2024-06-06","cited_by_count":19,"area":null},{"id":"2503.10745","title":"Unifying 2D and 3D Vision-Language Understanding","created":"2025-03-13","cited_by_count":15,"area":null},{"id":"2504.10471","title":"MIEB: Massive Image Embedding Benchmark","created":"2025-04-14","cited_by_count":15,"area":null},{"id":"2411.11927","title":"FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training","created":"2024-11-18","cited_by_count":12,"area":null},{"id":"2411.04997","title":"LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation","created":"2024-11-07","cited_by_count":11,"area":null},{"id":"2506.08354","title":"Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning","created":"2025-06-10","cited_by_count":10,"area":null},{"id":"2502.17028","title":"Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence","created":"2025-02-24","cited_by_count":7,"area":null},{"id":"2412.00526","title":"Human Action CLIPs: Detecting AI-generated Human Motion","created":"2024-11-30","cited_by_count":4,"area":null},{"id":"2602.09507","title":"Towards Uniformity and Alignment for Multimodal Representation Learning","created":"2026-02-10","cited_by_count":4,"area":null},{"id":"2508.08071","title":"C-MAG: Cascade Multimodal Attributed Graphs for Supply Chain Link Prediction","created":"2025-08-11","cited_by_count":3,"area":null},{"id":"2512.03514","title":"M3DR: Towards Universal Multilingual Multimodal Document Retrieval","created":"2025-12-03","cited_by_count":3,"area":null},{"id":"2512.18363","title":"Enhancing 3D Semantic Scene Completion with a Refinement Module","created":"2025-12-20","cited_by_count":3,"area":null},{"id":"2506.03355","title":"Robustness in Both Domains: CLIP Needs a Robust Text Encoder","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2505.10043","title":"Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights","created":"2025-05-15","cited_by_count":1,"area":null},{"id":"2508.02762","title":"Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2604.22939","title":"Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge","created":"2026-04-24","cited_by_count":1,"area":null},{"id":"2511.06947","title":"FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2601.10096","title":"Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2604.07201","title":"BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2609.25165","title":"Ovis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddings","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}