{"total":80,"rows":[{"id":"2410.03577","title":"Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models","created":"2024-10-04","cited_by_count":72,"area":"mllm"},{"id":"2407.12735","title":"EchoSight: Advancing Visual-Language Models with Wiki Knowledge","created":"2024-07-17","cited_by_count":62,"area":"mllm"},{"id":"2408.01319","title":"A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks","created":"2024-08-02","cited_by_count":57,"area":"mllm"},{"id":"2505.16652","title":"Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding","created":"2025-05-22","cited_by_count":43,"area":"mllm"},{"id":"2410.08182","title":"MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models","created":"2024-10-10","cited_by_count":42,"area":"rag"},{"id":"2502.08826","title":"Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation","created":"2025-02-12","cited_by_count":42,"area":"rag"},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"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":"2410.08876","title":"RoRA-VLM: Robust Retrieval-Augmented Vision Language Models","created":"2024-10-11","cited_by_count":23,"area":"mllm"},{"id":"2412.11863","title":"GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training","created":"2024-12-16","cited_by_count":23,"area":"mllm"},{"id":"2410.16983","title":"Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models","created":"2024-10-22","cited_by_count":20,"area":"mllm"},{"id":"2411.15041","title":"mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA","created":"2024-11-22","cited_by_count":19,"area":"mllm"},{"id":"2506.02544","title":"CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG","created":"2025-06-03","cited_by_count":18,"area":"mllm"},{"id":"2510.14605","title":"Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering","created":"2025-10-16","cited_by_count":17,"area":"mllm"},{"id":"2408.09530","title":"PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding","created":"2024-08-18","cited_by_count":16,"area":null},{"id":"2407.08583","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective","created":"2024-07-11","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":"2506.13589","title":"AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding","created":"2025-06-16","cited_by_count":15,"area":"mllm"},{"id":"2503.01980","title":"Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval","created":"2025-03-03","cited_by_count":13,"area":"mllm"},{"id":"2406.19593","title":"SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs","created":"2024-06-28","cited_by_count":12,"area":"mllm"},{"id":"2412.05983","title":"Chimera: Improving Generalist Model with Domain-Specific Experts","created":"2024-12-08","cited_by_count":11,"area":"mllm"},{"id":"2505.07879","title":"OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval","created":"2025-05-10","cited_by_count":10,"area":"rag"},{"id":"2410.15040","title":"Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization","created":"2024-10-19","cited_by_count":9,"area":"diffusion"},{"id":"2405.13127","title":"Towards Retrieval-Augmented Architectures for Image Captioning","created":"2024-05-21","cited_by_count":7,"area":"rag"},{"id":"2509.25638","title":"Generalized Contrastive Learning for Universal Multimodal Retrieval","created":"2025-09-30","cited_by_count":7,"area":null},{"id":"2405.18740","title":"Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs","created":"2024-05-29","cited_by_count":6,"area":"mllm"},{"id":"2407.21368","title":"Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering","created":"2024-07-31","cited_by_count":6,"area":"mllm"},{"id":"2410.02729","title":"Unified Multimodal Interleaved Document Representation for Retrieval","created":"2024-10-03","cited_by_count":6,"area":null},{"id":"2412.09428","title":"Multimodal Music Generation with Explicit Bridges and Retrieval Augmentation","created":"2024-12-12","cited_by_count":6,"area":null},{"id":"2504.10320","title":"SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model","created":"2025-04-14","cited_by_count":6,"area":"mllm"},{"id":"2408.14547","title":"Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization","created":"2024-08-26","cited_by_count":5,"area":null},{"id":"2504.08809","title":"Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models","created":"2025-04-09","cited_by_count":5,"area":"lr"},{"id":"2507.21917","title":"ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval","created":"2025-07-29","cited_by_count":5,"area":"lr"},{"id":"2606.27974","title":"ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering","created":"2026-06-26","cited_by_count":5,"area":null},{"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":"2505.24073","title":"mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation","created":"2025-05-29","cited_by_count":4,"area":"mllm"},{"id":"2506.16444","title":"REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing","created":"2025-06-19","cited_by_count":4,"area":null},{"id":"2605.00814","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"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":"2509.08897","title":"Recurrence Meets Transformers for Universal Multimodal Retrieval","created":"2025-09-10","cited_by_count":3,"area":"mllm"},{"id":"2508.10955","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"id":"2602.23952","title":"CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering","created":"2026-02-27","cited_by_count":2,"area":null},{"id":"2604.04372","title":"Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning","created":"2026-04-06","cited_by_count":2,"area":"mllm"},{"id":"2604.07146","title":"Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering","created":"2026-04-08","cited_by_count":2,"area":"mllm"},{"id":"2412.02262","title":"Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation","created":"2024-12-03","cited_by_count":1,"area":null},{"id":"2503.18034","title":"Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models","created":"2025-03-23","cited_by_count":1,"area":"mllm"},{"id":"2506.10030","title":"Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment","created":"2025-06-10","cited_by_count":1,"area":"rag"},{"id":"2506.10609","title":"MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2509.02123","title":"CMRAG: Co-modality-based visual document retrieval and question answering","created":"2025-09-02","cited_by_count":1,"area":"rag"},{"id":"2510.00919","title":"Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving","created":"2025-10-01","cited_by_count":1,"area":"rag"},{"id":"2510.06638","title":"StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering","created":"2025-10-08","cited_by_count":1,"area":"lr"},{"id":"2510.22694","title":"Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation","created":"2025-10-26","cited_by_count":1,"area":"mllm"},{"id":"2511.21920","title":"Toward Automated and Trustworthy Scientific Analysis and Visualization with LLM-Generated Code","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2602.00344","title":"When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs","created":"2026-01-30","cited_by_count":1,"area":"mllm"},{"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":"2602.15915","title":"MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering","created":"2026-02-17","cited_by_count":1,"area":null},{"id":"2604.01280","title":"Look Twice: Training-Free Evidence Highlighting for Knowledge-based Visual Question Answering","created":"2026-04-01","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":"2604.12033","title":"Benchmarking Deflection and Hallucination in Large Vision-Language Models","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2605.19307","title":"MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering Systems","created":"2026-05-19","cited_by_count":1,"area":"lr"},{"id":"2605.28459","title":"REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detection","created":"2026-05-27","cited_by_count":1,"area":"moe"},{"id":"2606.16494","title":"Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering","created":"2026-06-15","cited_by_count":1,"area":"rag"},{"id":"2607.27798","title":"MemeBench: What LVLMs Miss When Interpreting Culture-Dependent Memes","created":"2026-07-30","cited_by_count":1,"area":"mllm"},{"id":"2408.16827","title":"Fluent and Accurate Image Captioning with a Self-Trained Reward Model","created":"2024-08-29","cited_by_count":0,"area":"alignment"},{"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":"2508.19724","title":"NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2509.04502","title":"VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples","created":"2025-09-02","cited_by_count":0,"area":"mllm"},{"id":"2512.08221","title":"VisKnow: Constructing Visual Knowledge Base for Object Understanding","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2602.06050","title":"Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering","created":"2026-01-14","cited_by_count":0,"area":"mllm"},{"id":"2604.03833","title":"SPARK-IL: Spectral Retrieval-Augmented RAG for Knowledge-driven Deepfake Detection via Incremental Learning","created":"2026-04-04","cited_by_count":0,"area":"rag"},{"id":"2604.05268","title":"Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-Ranking","created":"2026-04-07","cited_by_count":0,"area":"rag"},{"id":"2605.03790","title":"Enhancing Visual Question Answering with Multimodal LLMs via Chain-of-Question Guided Retrieval-Augmented Generation","created":"2026-05-05","cited_by_count":0,"area":"mllm"},{"id":"2607.07383","title":"MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG","created":"2026-07-08","cited_by_count":0,"area":"agents"},{"id":"2607.22643","title":"Reason Before You Retrieve: Agentic Planning for Multi-modal RAG","created":"2026-06-24","cited_by_count":0,"area":"rag"},{"id":"2608.01147","title":"UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering","created":"2026-08-02","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":"2608.14032","title":"HAM-RAG: Hierarchy-Aware Multimodal RAG for Structure-Faithful Interleaved Generation","created":"2026-08-14","cited_by_count":0,"area":"rag"},{"id":"2608.19208","title":"When Irrelevant Text Matters: Affine Margin Shifts in Multimodal Large Language Models","created":"2026-06-12","cited_by_count":0,"area":"mllm"},{"id":"2609.16795","title":"Layers, Sinks, and Scaling: Adaptive Evidence Selection for Multimodal Large Language Models","created":"2026-09-15","cited_by_count":0,"area":"mllm"},{"id":"2610.03421","title":"CLIMB: Confidence-Guided Complementary Evidence for Multimodal Retrieval-Augmented Generation","created":"2026-10-02","cited_by_count":0,"area":"lr"}],"next_cursor":null}