{"total":49,"rows":[{"id":"2410.05160","title":"VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks","created":"2024-10-07","cited_by_count":228,"area":"mllm"},{"id":"2405.13576","title":"FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research","created":"2024-05-22","cited_by_count":166,"area":"mllm"},{"id":"2211.12561","title":"Retrieval-Augmented Multimodal Language Modeling","created":"2022-11-22","cited_by_count":125,"area":"mllm"},{"id":"2212.05221","title":"REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory","created":"2022-12-10","cited_by_count":123,"area":"mllm"},{"id":"2404.15406","title":"Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs","created":"2024-04-23","cited_by_count":80,"area":"mllm"},{"id":"2401.12425","title":"The Neglected Tails in Vision-Language Models","created":"2024-01-23","cited_by_count":63,"area":"mllm"},{"id":"2407.21439","title":"MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training","created":"2024-07-31","cited_by_count":50,"area":"mllm"},{"id":"2402.08327","title":"PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers","created":"2024-02-13","cited_by_count":42,"area":"mllm"},{"id":"2510.12801","title":"DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search","created":"2025-10-14","cited_by_count":42,"area":"mllm"},{"id":"2302.04858","title":"Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning","created":"2023-02-09","cited_by_count":41,"area":"mllm"},{"id":"2306.00917","title":"Vocabulary-free Image Classification","created":"2023-06-01","cited_by_count":35,"area":"mllm"},{"id":"2411.01106","title":"SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding","created":"2024-11-02","cited_by_count":25,"area":"mllm"},{"id":"2502.17832","title":"MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks","created":"2025-02-25","cited_by_count":24,"area":"mllm"},{"id":"2410.08876","title":"RoRA-VLM: Robust Retrieval-Augmented Vision Language Models","created":"2024-10-11","cited_by_count":23,"area":"mllm"},{"id":"2405.14554","title":"SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge","created":"2024-05-23","cited_by_count":20,"area":"mllm"},{"id":"2403.04735","title":"SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM","created":"2024-03-07","cited_by_count":18,"area":"mllm"},{"id":"2304.13923","title":"Retrieval-based Knowledge Augmented Vision Language Pre-training","created":"2023-04-27","cited_by_count":17,"area":"mllm"},{"id":"2411.16740","title":"Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents","created":"2024-11-23","cited_by_count":17,"area":"mllm"},{"id":"2410.21220","title":"Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines","created":"2024-10-28","cited_by_count":16,"area":"mllm"},{"id":"2411.00304","title":"Unified Generative and Discriminative Training for Multi-modal Large Language Models","created":"2024-11-01","cited_by_count":15,"area":"mllm"},{"id":"2505.17670","title":"Towards General Continuous Memory for Vision-Language Models","created":"2025-05-23","cited_by_count":15,"area":"mllm"},{"id":"2510.06664","title":"ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability Memory","created":"2025-10-08","cited_by_count":14,"area":"mllm"},{"id":"2506.07016","title":"MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks","created":"2025-06-08","cited_by_count":12,"area":"mllm"},{"id":"2409.08468","title":"Generalization Boosted Adapter for Open-Vocabulary Segmentation","created":"2024-09-13","cited_by_count":9,"area":"mllm"},{"id":"2404.10864","title":"Vocabulary-free Image Classification and Semantic Segmentation","created":"2024-04-16","cited_by_count":8,"area":"mllm"},{"id":"2405.10311","title":"UniRAG: Universal Retrieval Augmentation for Large Vision Language Models","created":"2024-05-16","cited_by_count":8,"area":"mllm"},{"id":"2405.18740","title":"Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs","created":"2024-05-29","cited_by_count":6,"area":"mllm"},{"id":"2406.09618","title":"Multi-Modal Retrieval For Large Language Model Based Speech Recognition","created":"2024-06-13","cited_by_count":4,"area":"mllm"},{"id":"2505.12884","title":"TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks","created":"2025-05-19","cited_by_count":4,"area":"mllm"},{"id":"2410.14154","title":"RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training","created":"2024-10-18","cited_by_count":3,"area":"mllm"},{"id":"2410.19144","title":"Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant","created":"2024-10-24","cited_by_count":3,"area":"mllm"},{"id":"2602.07642","title":"Efficient Table Retrieval and Understanding with Multimodal Large Language Models","created":"2026-02-07","cited_by_count":3,"area":"mllm"},{"id":"2604.14147","title":"ROSE: Retrieval-Oriented Segmentation Enhancement","created":"2026-04-15","cited_by_count":3,"area":"mllm"},{"id":"2306.17675","title":"Multimodal Prompt Retrieval for Generative Visual Question Answering","created":"2023-06-30","cited_by_count":2,"area":"mllm"},{"id":"2506.01724","title":"Active Learning via Vision-Language Model Adaptation with Open Data","created":"2025-06-02","cited_by_count":2,"area":"mllm"},{"id":"2510.10426","title":"Taming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMs","created":"2025-10-12","cited_by_count":1,"area":"mllm"},{"id":"2604.04969","title":"MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation","created":"2026-04-04","cited_by_count":1,"area":"mllm"},{"id":"2307.05591","title":"Linear Alignment of Vision-language Models for Image Captioning","created":"2023-07-10","cited_by_count":0,"area":"mllm"},{"id":"2411.12287","title":"CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model","created":"2024-11-19","cited_by_count":0,"area":"mllm"},{"id":"2512.20136","title":"M$^3$KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation","created":"2025-12-23","cited_by_count":0,"area":"mllm"},{"id":"2602.22013","title":"RobustVisRAG: Causality-Aware Vision-Based Retrieval-Augmented Generation under Visual Degradations","created":"2026-02-25","cited_by_count":0,"area":"mllm"},{"id":"2603.00172","title":"Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented Generation","created":"2026-02-26","cited_by_count":0,"area":"mllm"},{"id":"2604.14967","title":"UniDoc-RL: Coarse-to-Fine Visual RAG with Hierarchical Actions and Dense Rewards","created":"2026-04-16","cited_by_count":0,"area":"mllm"},{"id":"2606.15782","title":"Mitigating Visual Hallucinations in Multimodal Systems through Retrieval-Augmented Reliability-Aware Inference","created":"2026-06-14","cited_by_count":0,"area":"mllm"},{"id":"2606.25343","title":"Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2608.07535","title":"Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2609.05518","title":"CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation","created":"2026-08-31","cited_by_count":0,"area":"mllm"},{"id":"2609.08188","title":"Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.37889","title":"ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning","created":"2026-09-29","cited_by_count":0,"area":"mllm"}],"next_cursor":null}