{"total":109,"rows":[{"id":"2408.03326","title":"LLaVA-OneVision: Easy Visual Task Transfer","created":"2024-08-06","cited_by_count":2719,"area":"mllm"},{"id":"2206.01718","title":"A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge","created":"2022-06-03","cited_by_count":710,"area":null},{"id":"2307.06435","title":"A Comprehensive Overview of Large Language Models","created":"2023-07-12","cited_by_count":648,"area":null},{"id":"2410.10594","title":"VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents","created":"2024-10-14","cited_by_count":245,"area":"rag"},{"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":"2210.02928","title":"MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text","created":"2022-10-06","cited_by_count":220,"area":"rag"},{"id":"2209.14491","title":"Re-Imagen: Retrieval-Augmented Text-to-Image Generator","created":"2022-09-29","cited_by_count":210,"area":"rag"},{"id":"2401.03568","title":"Agent AI: Surveying the Horizons of Multimodal Interaction","created":"2024-01-07","cited_by_count":170,"area":"agents"},{"id":"2412.16855","title":"GME: Improving Universal Multimodal Retrieval by Multimodal LLMs","created":"2024-12-22","cited_by_count":170,"area":"mllm"},{"id":"2311.17136","title":"UniIR: Training and Benchmarking Universal Multimodal Information Retrievers","created":"2023-11-28","cited_by_count":166,"area":null},{"id":"2411.02571","title":"MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs","created":"2024-11-04","cited_by_count":161,"area":"mllm"},{"id":"2210.09263","title":"Vision-Language Pre-training: Basics, Recent Advances, and Future Trends","created":"2022-10-17","cited_by_count":117,"area":"mllm"},{"id":"2302.11154","title":"Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities","created":"2023-02-22","cited_by_count":113,"area":null},{"id":"2211.09699","title":"PromptCap: Prompt-Guided Task-Aware Image Captioning","created":"2022-11-15","cited_by_count":104,"area":null},{"id":"2404.18532","title":"MileBench: Benchmarking MLLMs in Long Context","created":"2024-04-29","cited_by_count":88,"area":"mllm"},{"id":"2204.09222","title":"K-LITE: Learning Transferable Visual Models with External Knowledge","created":"2022-04-20","cited_by_count":79,"area":null},{"id":"2308.04152","title":"Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions","created":"2023-08-08","cited_by_count":77,"area":"mllm"},{"id":"2305.10435","title":"Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions","created":"2023-05-11","cited_by_count":55,"area":null},{"id":"2407.13766","title":"Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark","created":"2024-07-18","cited_by_count":55,"area":"mllm"},{"id":"2203.17247","title":"VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers","created":"2022-03-30","cited_by_count":53,"area":null},{"id":"2310.18652","title":"EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images","created":"2023-10-28","cited_by_count":53,"area":null},{"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":"2402.11756","title":"MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs","created":"2024-02-19","cited_by_count":46,"area":null},{"id":"2201.05176","title":"Neural Approaches to Conversational Information Retrieval","created":"2022-01-13","cited_by_count":42,"area":null},{"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":"2110.04725","title":"Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning","created":"2021-10-10","cited_by_count":35,"area":null},{"id":"2503.18016","title":"Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook","created":"2025-03-23","cited_by_count":32,"area":"rag"},{"id":"2212.08632","title":"Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation","created":"2022-12-16","cited_by_count":28,"area":null},{"id":"2505.17399","title":"FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow","created":"2025-05-23","cited_by_count":28,"area":null},{"id":"2305.13631","title":"EDIS: Entity-Driven Image Search over Multimodal Web Content","created":"2023-05-23","cited_by_count":27,"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":"2404.07234","title":"Goal-guided Generative Prompt Injection Attack on Large Language Models","created":"2024-04-06","cited_by_count":24,"area":"safety"},{"id":"2206.15030","title":"Modern Question Answering Datasets and Benchmarks: A Survey","created":"2022-06-30","cited_by_count":23,"area":null},{"id":"2306.00424","title":"End-to-end Knowledge Retrieval with Multi-modal Queries","created":"2023-06-01","cited_by_count":23,"area":null},{"id":"2406.03496","title":"Wings: Learning Multimodal LLMs without Text-only Forgetting","created":"2024-06-05","cited_by_count":23,"area":"mllm"},{"id":"2503.01222","title":"Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG","created":"2025-03-03","cited_by_count":23,"area":"mllm"},{"id":"2306.16762","title":"Unified Language Representation for Question Answering over Text, Tables, and Images","created":"2023-06-29","cited_by_count":22,"area":null},{"id":"2407.03418","title":"HEMM: Holistic Evaluation of Multimodal Foundation Models","created":"2024-07-03","cited_by_count":21,"area":null},{"id":"2506.07461","title":"From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered","created":"2025-06-09","cited_by_count":21,"area":null},{"id":"2210.13626","title":"VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge","created":"2022-10-24","cited_by_count":20,"area":null},{"id":"2504.20734","title":"UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities","created":"2025-04-29","cited_by_count":20,"area":"rag"},{"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":"2411.16740","title":"Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents","created":"2024-11-23","cited_by_count":17,"area":"mllm"},{"id":"2508.16763","title":"WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation","created":"2025-08-22","cited_by_count":16,"area":null},{"id":"2504.10471","title":"MIEB: Massive Image Embedding Benchmark","created":"2025-04-14","cited_by_count":15,"area":null},{"id":"2510.02418","title":"BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks","created":"2025-10-02","cited_by_count":14,"area":"agents"},{"id":"2305.09299","title":"UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning","created":"2023-05-16","cited_by_count":13,"area":null},{"id":"2502.17297","title":"Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts","created":"2025-02-24","cited_by_count":12,"area":"mllm"},{"id":"2304.09660","title":"MPMQA: Multimodal Question Answering on Product Manuals","created":"2023-04-19","cited_by_count":10,"area":null},{"id":"2306.16713","title":"Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering","created":"2023-06-29","cited_by_count":10,"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":"2510.26160","title":"CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark","created":"2025-10-30","cited_by_count":10,"area":"rag"},{"id":"2402.07742","title":"Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search","created":"2024-02-12","cited_by_count":8,"area":null},{"id":"2608.24053","title":"WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report","created":"2026-08-25","cited_by_count":8,"area":null},{"id":"2305.01447","title":"Multimodal Neural Databases","created":"2023-05-02","cited_by_count":7,"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":"2603.02929","title":"TRACE: Task-Adaptive Reasoning and Representation Learning for Universal Multimodal Retrieval","created":"2026-03-03","cited_by_count":7,"area":"lr"},{"id":"2411.08891","title":"Reliable Decision Making via Calibration Oriented Retrieval Augmented Generation","created":"2024-10-28","cited_by_count":6,"area":"rag"},{"id":"2505.18605","title":"Rethinking Causal Mask Attention for Vision-Language Inference","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2602.22683","title":"SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses","created":"2026-02-26","cited_by_count":6,"area":"mllm"},{"id":"2310.09696","title":"Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering","created":"2023-10-15","cited_by_count":5,"area":null},{"id":"2501.13297","title":"RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering","created":"2025-01-23","cited_by_count":5,"area":"rag"},{"id":"2503.19868","title":"GENIUS: A Generative Framework for Universal Multimodal Search","created":"2025-03-25","cited_by_count":5,"area":null},{"id":"2509.19018","title":"OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space Alignment","created":"2025-09-23","cited_by_count":5,"area":"mllm"},{"id":"2602.12735","title":"VimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph","created":"2026-02-13","cited_by_count":5,"area":"rag"},{"id":"2605.07510","title":"InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search","created":"2026-05-08","cited_by_count":5,"area":"agents"},{"id":"2505.08450","title":"IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation","created":"2025-05-13","cited_by_count":4,"area":"rag"},{"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":"2503.14957","title":"Neuro Symbolic Knowledge Reasoning for Procedural Video Question Answering","created":"2025-03-19","cited_by_count":3,"area":"lr"},{"id":"2504.08269","title":"VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering","created":"2025-04-11","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":"2510.00499","title":"MOSS-Speech: Towards True Speech-to-Speech Models Without Text Guidance","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2602.05275","title":"Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs","created":"2026-02-05","cited_by_count":3,"area":"mllm"},{"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":"2603.02098","title":"Efficient and High-Fidelity Omni Modality Retrieval","created":"2026-03-02","cited_by_count":3,"area":null},{"id":"2603.05697","title":"MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents","created":"2026-03-05","cited_by_count":3,"area":"lr"},{"id":"2605.29602","title":"CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning","created":"2026-05-28","cited_by_count":3,"area":"lr"},{"id":"2205.11686","title":"On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization","created":"2022-05-24","cited_by_count":2,"area":null},{"id":"2210.12658","title":"Extending Phrase Grounding with Pronouns in Visual Dialogues","created":"2022-10-23","cited_by_count":2,"area":null},{"id":"2508.01858","title":"Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents","created":"2025-08-03","cited_by_count":2,"area":"agents"},{"id":"2510.15543","title":"MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2601.19060","title":"Pixel-Grounded Retrieval for Knowledgeable Large Multimodal Models","created":"2026-01-27","cited_by_count":2,"area":"mllm"},{"id":"2603.01082","title":"Beyond Global Similarity: Towards Fine-Grained, Multi-Condition Multimodal Retrieval","created":"2026-03-01","cited_by_count":2,"area":"mllm"},{"id":"2406.13232","title":"Towards Robust Evaluation: A Comprehensive Taxonomy of Datasets and Metrics for Open Domain Question Answering in the Era of Large Language Models","created":"2024-06-19","cited_by_count":1,"area":null},{"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":"2508.00356","title":"Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning","created":"2025-08-01","cited_by_count":1,"area":"lr"},{"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":"2510.18703","title":"Exploring a Unified Vision-Centric Contrastive Alternatives on Multi-Modal Web Documents","created":"2025-10-21","cited_by_count":1,"area":"mllm"},{"id":"2510.22694","title":"Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation","created":"2025-10-26","cited_by_count":1,"area":"mllm"},{"id":"2602.03432","title":"Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs","created":"2026-02-03","cited_by_count":1,"area":"agents"},{"id":"2602.13179","title":"Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation","created":"2026-02-13","cited_by_count":1,"area":"rag"},{"id":"2603.13091","title":"Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence","created":"2026-03-13","cited_by_count":1,"area":"lr"},{"id":"2607.05438","title":"Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG","created":"2026-07-03","cited_by_count":1,"area":"rag"},{"id":"2609.33659","title":"Learning Multimodal Embeddings with Evidence-Aligned Readout","created":"2026-09-27","cited_by_count":1,"area":"mllm"},{"id":"2301.12152","title":"Layout-aware Webpage Quality Assessment","created":"2023-01-28","cited_by_count":0,"area":null},{"id":"2304.00450","title":"Sketch-based Video Object Localization","created":"2023-04-02","cited_by_count":0,"area":null},{"id":"2501.04173","title":"Multimodal Multihop Source Retrieval for Web Question Answering","created":"2025-01-07","cited_by_count":0,"area":null},{"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":"2605.15868","title":"SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval","created":"2026-05-15","cited_by_count":0,"area":null}],"next_cursor":"100"}