{"total":75,"rows":[{"id":"2206.02779","title":"Blended Latent Diffusion","created":"2022-06-06","cited_by_count":432,"area":"mllm"},{"id":"2303.02153","title":"Unleashing Text-to-Image Diffusion Models for Visual Perception","created":"2023-03-03","cited_by_count":269,"area":"mllm"},{"id":"2310.02992","title":"Kosmos-G: Generating Images in Context with Multimodal Large Language Models","created":"2023-10-04","cited_by_count":105,"area":"mllm"},{"id":"2402.03161","title":"Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization","created":"2024-02-05","cited_by_count":100,"area":"mllm"},{"id":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2310.17419","title":"AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors","created":"2023-10-26","cited_by_count":64,"area":"mllm"},{"id":"2312.16794","title":"ZONE: Zero-Shot Instruction-Guided Local Editing","created":"2023-12-28","cited_by_count":62,"area":"mllm"},{"id":"2410.09732","title":"LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models","created":"2024-10-13","cited_by_count":51,"area":"mllm"},{"id":"2501.12327","title":"VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model","created":"2025-01-21","cited_by_count":44,"area":"mllm"},{"id":"2404.10335","title":"Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion Models","created":"2024-04-16","cited_by_count":38,"area":"mllm"},{"id":"2502.10794","title":"Distraction is All You Need for Multimodal Large Language Model Jailbreaking","created":"2025-02-15","cited_by_count":36,"area":"mllm"},{"id":"2509.06932","title":"LLaDA-VLA: Vision Language Diffusion Action Models","created":"2025-09-08","cited_by_count":30,"area":"mllm"},{"id":"2311.16500","title":"LLMGA: Multimodal Large Language Model based Generation Assistant","created":"2023-11-27","cited_by_count":25,"area":"mllm"},{"id":"2412.09618","title":"EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM","created":"2024-12-12","cited_by_count":25,"area":"mllm"},{"id":"2509.26642","title":"MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation","created":"2025-09-30","cited_by_count":23,"area":"mllm"},{"id":"2407.06842","title":"Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts","created":"2024-07-09","cited_by_count":19,"area":"mllm"},{"id":"2409.19967","title":"Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function","created":"2024-09-30","cited_by_count":19,"area":"mllm"},{"id":"2410.10798","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","created":"2024-10-14","cited_by_count":19,"area":"mllm"},{"id":"2503.10127","title":"PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models","created":"2025-03-13","cited_by_count":18,"area":"mllm"},{"id":"2408.11305","title":"UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation","created":"2024-08-21","cited_by_count":17,"area":"mllm"},{"id":"2404.15100","title":"Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation","created":"2024-04-23","cited_by_count":15,"area":"mllm"},{"id":"2412.01824","title":"X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models","created":"2024-12-02","cited_by_count":15,"area":"mllm"},{"id":"2502.06823","title":"CTR-Driven Advertising Image Generation with Multimodal Large Language Models","created":"2025-02-05","cited_by_count":14,"area":"mllm"},{"id":"2502.08642","title":"SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation","created":"2025-02-12","cited_by_count":14,"area":"mllm"},{"id":"2508.01617","title":"LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding","created":"2025-08-03","cited_by_count":13,"area":"mllm"},{"id":"2412.12087","title":"Instruction-based Image Manipulation by Watching How Things Move","created":"2024-12-16","cited_by_count":12,"area":"mllm"},{"id":"2602.18532","title":"VLANeXt: Recipes for Building Strong VLA Models","created":"2026-02-20","cited_by_count":12,"area":"mllm"},{"id":"2401.14688","title":"Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support","created":"2024-01-26","cited_by_count":11,"area":"mllm"},{"id":"2503.01019","title":"MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations","created":"2025-03-02","cited_by_count":11,"area":"mllm"},{"id":"2506.07227","title":"Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning","created":"2025-06-08","cited_by_count":11,"area":"mllm"},{"id":"2410.07133","title":"EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models","created":"2024-10-09","cited_by_count":9,"area":"mllm"},{"id":"2603.14851","title":"AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving","created":"2026-03-16","cited_by_count":9,"area":"mllm"},{"id":"2409.14993","title":"Multi-modal Generative AI: Multi-modal LLMs, Diffusions, and the Unification","created":"2024-09-23","cited_by_count":8,"area":"mllm"},{"id":"2503.04250","title":"An Egocentric Vision-Language Model based Portable Real-time Smart Assistant","created":"2025-03-06","cited_by_count":8,"area":"mllm"},{"id":"2504.14245","title":"Towards Explainable Fake Image Detection with Multi-Modal Large Language Models","created":"2025-04-19","cited_by_count":8,"area":"mllm"},{"id":"2508.03142","title":"UniEdit-I: Training-free Image Editing for Unified VLM via Iterative Understanding, Editing and Verifying","created":"2025-08-05","cited_by_count":7,"area":"mllm"},{"id":"2407.20756","title":"SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models","created":"2024-07-30","cited_by_count":6,"area":"mllm"},{"id":"2412.03002","title":"AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?","created":"2024-12-04","cited_by_count":5,"area":"mllm"},{"id":"2505.20053","title":"Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion","created":"2025-05-26","cited_by_count":5,"area":"mllm"},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2512.24271","title":"Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation","created":"2025-12-30","cited_by_count":4,"area":"mllm"},{"id":"2602.06013","title":"GenArena: How Can We Achieve Human-Aligned Evaluation for Visual Generation Tasks?","created":"2026-02-05","cited_by_count":4,"area":"mllm"},{"id":"2406.01432","title":"ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models","created":"2024-06-03","cited_by_count":2,"area":"mllm"},{"id":"2409.03109","title":"FIDAVL: Fake Image Detection and Attribution using Vision-Language Model","created":"2024-08-22","cited_by_count":2,"area":"mllm"},{"id":"2505.18775","title":"OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks","created":"2025-05-24","cited_by_count":2,"area":"mllm"},{"id":"2506.03933","title":"Diffusion-based Cumulative Adversarial Purification for Vision Language Models","created":"2025-06-04","cited_by_count":2,"area":"mllm"},{"id":"2507.19939","title":"LLMControl: Grounded Control of Text-to-Image Diffusion-based Synthesis with Multimodal LLMs","created":"2025-07-26","cited_by_count":2,"area":"mllm"},{"id":"2507.22398","title":"On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations","created":"2025-07-30","cited_by_count":2,"area":"mllm"},{"id":"2511.11693","title":"Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation","created":"2025-11-12","cited_by_count":2,"area":"mllm"},{"id":"2604.07422","title":"Multimodal Large Language Models for Multi-Subject In-Context Image Generation","created":"2026-04-08","cited_by_count":2,"area":"mllm"},{"id":"2605.27374","title":"ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment","created":"2026-04-08","cited_by_count":2,"area":"mllm"},{"id":"2306.00813","title":"UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning","created":"2023-06-01","cited_by_count":1,"area":"mllm"},{"id":"2407.17428","title":"Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation","created":"2024-07-09","cited_by_count":1,"area":"mllm"},{"id":"2412.01284","title":"MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model","created":"2024-12-02","cited_by_count":1,"area":"mllm"},{"id":"2506.21874","title":"On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling","created":"2025-06-27","cited_by_count":1,"area":"mllm"},{"id":"2510.03840","title":"Mirage: Unveiling Hidden Artifacts in Synthetic Images with Large Vision-Language Models","created":"2025-10-04","cited_by_count":1,"area":"mllm"},{"id":"2602.15368","title":"GMAIL: Generative Modality Alignment for generated Image Learning","created":"2026-02-17","cited_by_count":1,"area":"mllm"},{"id":"2604.11005","title":"Diffusion-CAM: Faithful Visual Explanations for dMLLMs","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2606.11188","title":"ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations","created":"2026-06-09","cited_by_count":1,"area":"mllm"},{"id":"2606.26566","title":"Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models","created":"2026-06-25","cited_by_count":1,"area":"mllm"},{"id":"2608.29137","title":"Chat-Edit-3D++: Interactive 3D and 4D Scene Editing via Large Language Models","created":"2026-08-29","cited_by_count":1,"area":"mllm"},{"id":"2411.18727","title":"Generative Visual Communication in the Era of Vision-Language Models","created":"2024-11-27","cited_by_count":0,"area":"mllm"},{"id":"2504.11930","title":"Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning","created":"2025-04-16","cited_by_count":0,"area":"mllm"},{"id":"2507.08513","title":"Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation","created":"2025-07-11","cited_by_count":0,"area":"mllm"},{"id":"2511.04123","title":"Text to Sketch Generation with Multi-Styles","created":"2025-11-06","cited_by_count":0,"area":"mllm"},{"id":"2512.12596","title":"Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models","created":"2025-12-14","cited_by_count":0,"area":"mllm"},{"id":"2602.14633","title":"VIGIL: Tackling Hallucination Detection in Image Recontextualization","created":"2026-02-16","cited_by_count":0,"area":"mllm"},{"id":"2605.07399","title":"GPO-V: Jailbreak Diffusion Vision Language Model by Global Probability Optimization","created":"2026-05-08","cited_by_count":0,"area":"mllm"},{"id":"2605.28167","title":"DebFilter: Eradicating Biases Stashed in Value","created":"2026-05-27","cited_by_count":0,"area":"mllm"},{"id":"2606.06853","title":"MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language Models","created":"2026-06-05","cited_by_count":0,"area":"mllm"},{"id":"2606.13883","title":"Guided Diffusion with Distilled Vision-Language Reliability for Aerial Navigation","created":"2026-06-11","cited_by_count":0,"area":"mllm"},{"id":"2607.10329","title":"Imperceptible and Reversible Adversarial Examples against Vision-Language Models for Privacy Protection","created":"2026-07-11","cited_by_count":0,"area":"mllm"},{"id":"2608.23102","title":"Training-Free Pseudo-Fusion for Composed Image Retrieval with Diffusion Models and Multimodal Large Language Models","created":"2026-08-24","cited_by_count":0,"area":"mllm"},{"id":"2609.15322","title":"Planning in the Backbone: DiffAdapterVLA for Native Continuous Trajectory Generation with Driving VLMs","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2609.21022","title":"Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs","created":"2026-09-17","cited_by_count":0,"area":"mllm"}],"next_cursor":null}