{"total":84,"rows":[{"id":"2403.19651","title":"MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions","created":"2024-03-28","cited_by_count":119,"area":null},{"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":"2406.04292","title":"VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval","created":"2024-06-06","cited_by_count":67,"area":null},{"id":"2503.04812","title":"LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning","created":"2025-03-04","cited_by_count":55,"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":"2402.14334","title":"INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models","created":"2024-02-22","cited_by_count":33,"area":null},{"id":"2505.11293","title":"Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining","created":"2025-05-16","cited_by_count":28,"area":null},{"id":"2505.19650","title":"Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval","created":"2025-05-26","cited_by_count":26,"area":null},{"id":"2401.13478","title":"SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval","created":"2024-01-24","cited_by_count":23,"area":null},{"id":"2504.10471","title":"MIEB: Massive Image Embedding Benchmark","created":"2025-04-14","cited_by_count":15,"area":null},{"id":"2502.12558","title":"MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval","created":"2025-02-18","cited_by_count":14,"area":null},{"id":"2405.02714","title":"Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness","created":"2024-05-04","cited_by_count":12,"area":null},{"id":"2410.15453","title":"CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts","created":"2024-10-20","cited_by_count":11,"area":null},{"id":"2507.14902","title":"U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs","created":"2025-07-20","cited_by_count":10,"area":null},{"id":"2510.12709","title":"SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model","created":"2025-10-14","cited_by_count":10,"area":null},{"id":"2502.15682","title":"ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval","created":"2025-02-21","cited_by_count":9,"area":null},{"id":"2502.11431","title":"Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval","created":"2025-02-17","cited_by_count":8,"area":null},{"id":"2504.00954","title":"IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval","created":"2025-04-01","cited_by_count":8,"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":"2509.25638","title":"Generalized Contrastive Learning for Universal Multimodal Retrieval","created":"2025-09-30","cited_by_count":7,"area":null},{"id":"2509.26378","title":"MR$^2$-Bench: Going Beyond Matching to Reasoning in Multimodal Retrieval","created":"2025-09-30","cited_by_count":7,"area":null},{"id":"2410.02729","title":"Unified Multimodal Interleaved Document Representation for Retrieval","created":"2024-10-03","cited_by_count":6,"area":null},{"id":"2502.20008","title":"Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up","created":"2025-02-27","cited_by_count":6,"area":null},{"id":"2409.05405","title":"A Survey of Multimodal Composite Editing and Retrieval","created":"2024-09-09","cited_by_count":5,"area":null},{"id":"2410.20163","title":"UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers","created":"2024-10-26","cited_by_count":5,"area":null},{"id":"2503.19868","title":"GENIUS: A Generative Framework for Universal Multimodal Search","created":"2025-03-25","cited_by_count":5,"area":null},{"id":"2505.15877","title":"Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval","created":"2025-05-21","cited_by_count":5,"area":null},{"id":"2510.06888","title":"M3Retrieve: Benchmarking Multimodal Retrieval for Medicine","created":"2025-10-08","cited_by_count":5,"area":null},{"id":"2503.00501","title":"Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions","created":"2025-03-01","cited_by_count":4,"area":null},{"id":"2510.22215","title":"Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy","created":"2025-10-25","cited_by_count":4,"area":null},{"id":"2411.08334","title":"MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2506.03096","title":"FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2506.06962","title":"AR-RAG: Autoregressive Retrieval Augmentation for Image Generation","created":"2025-06-08","cited_by_count":3,"area":null},{"id":"2506.22056","title":"Universal Retrieval for Multimodal Trajectory Modeling","created":"2025-06-27","cited_by_count":3,"area":null},{"id":"2509.00798","title":"Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering","created":"2025-08-31","cited_by_count":3,"area":null},{"id":"2510.21406","title":"MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence","created":"2025-10-24","cited_by_count":3,"area":null},{"id":"2511.01588","title":"Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization","created":"2025-11-03","cited_by_count":3,"area":null},{"id":"2511.12142","title":"MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering","created":"2025-11-15","cited_by_count":3,"area":null},{"id":"2511.13415","title":"Attention Grounded Enhancement for Visual Document Retrieval","created":"2025-11-17","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":"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":"2602.09839","title":"ARK: A Dual-Axis Multimodal Retrieval Benchmark along Reasoning and Knowledge","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2602.22278","title":"RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval","created":"2026-02-25","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":"2502.12799","title":"Towards Text-Image Interleaved Retrieval","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2505.14270","title":"RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2507.06654","title":"MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval","created":"2025-07-09","cited_by_count":2,"area":null},{"id":"2510.15543","title":"MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2511.22843","title":"Breaking the Visual Shortcuts in Multimodal Knowledge-Based Visual Question Answering","created":"2025-11-28","cited_by_count":2,"area":null},{"id":"2601.11393","title":"Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning","created":"2026-01-16","cited_by_count":2,"area":null},{"id":"2602.13704","title":"Pailitao-VL: Unified Embedding and Reranker for Real-Time Multi-Modal Industrial Search","created":"2026-02-14","cited_by_count":2,"area":null},{"id":"2608.29607","title":"SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions","created":"2026-08-30","cited_by_count":2,"area":null},{"id":"2505.24441","title":"SORCE: Small Object Retrieval in Complex Environments","created":"2025-05-30","cited_by_count":1,"area":null},{"id":"2508.17497","title":"Multimodal Representation Learning Conditioned on Semantic Relations","created":"2025-08-24","cited_by_count":1,"area":null},{"id":"2602.09066","title":"Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2602.14065","title":"REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment","created":"2026-02-15","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":"2605.22552","title":"FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2605.24938","title":"Your Embedding Model is SMARTer Than You Think","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2605.26641","title":"OmniRetriever: Any-to-Any Audio-Video-Text Retrieval via Fusion-as-Teacher Distillation","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.19584","title":"Language-Instructed Vision Embeddings for Controllable and Generalizable Perception","created":"2026-06-17","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":"2511.20997","title":"FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2511.22253","title":"UNION: A Lightweight Target Representation for Efficient Zero-Shot Image-Guided Retrieval with Optional Textual Queries","created":"2025-11-27","cited_by_count":0,"area":null},{"id":"2512.11490","title":"VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2512.13511","title":"Adapting MLLMs for Nuanced Video Retrieval","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2604.05393","title":"Beyond Semantic Search: Towards Referential Anchoring in Composed Image Retrieval","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.20267","title":"ATIR: Towards Audio-Text Interleaved Contextual Retrieval","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2605.14787","title":"Do Composed Image Retrieval Benchmarks Require Multimodal Composition?","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.15723","title":"GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.15868","title":"SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval","created":"2026-05-15","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},{"id":"2606.04591","title":"Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.05489","title":"LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2607.28751","title":"ReLoop-UME: Recurrent Depth with Learnable Retrieval Registers for Universal Multimodal Embedding","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.02907","title":"Bayesian Data Reweighting Improves Multimodal Retrieval for Knowledge-Based Visual Question Answering","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.10636","title":"DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.12987","title":"Generative Universal Multimodal Retrieval with Dual-role Identifiers","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.17889","title":"VisDocAgentBench: Benchmarking Agents for Visually Rich Document Retrieval","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2608.27044","title":"Omni-Interactive Universal Embedder","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.16090","title":"MUUNRiver-Bench: Diagnosing Relation-Dependent Music Retrieval with Multimodal Instructions","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.33402","title":"VaME: Exploring Variational Latent Reasoning for Multimodal Embeddings","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.36359","title":"Better Nearest Neighbor Graph Indices via (Efficient) LLM-Guided Pruning","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}