{"total":88,"rows":[{"id":"2505.14683","title":"Emerging Properties in Unified Multimodal Pretraining","created":"2025-05-20","cited_by_count":897,"area":null},{"id":"2504.06256","title":"Transfer between Modalities with MetaQueries","created":"2025-04-08","cited_by_count":236,"area":null},{"id":"2503.07265","title":"WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation","created":"2025-03-10","cited_by_count":204,"area":null},{"id":"2502.20321","title":"UniTok: A Unified Tokenizer for Visual Generation and Understanding","created":"2025-02-27","cited_by_count":153,"area":null},{"id":"2505.05472","title":"Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation","created":"2025-05-08","cited_by_count":109,"area":null},{"id":"2510.08377","title":"UniVideo: Unified Understanding, Generation, and Editing for Videos","created":"2025-10-09","cited_by_count":87,"area":null},{"id":"2505.02567","title":"Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities","created":"2025-05-05","cited_by_count":85,"area":null},{"id":"2503.21979","title":"Harmonizing Visual Representations for Unified Multimodal Understanding and Generation","created":"2025-03-27","cited_by_count":74,"area":null},{"id":"2504.01017","title":"Scaling Language-Free Visual Representation Learning","created":"2025-04-01","cited_by_count":66,"area":null},{"id":"2506.03147","title":"UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation","created":"2025-06-03","cited_by_count":66,"area":null},{"id":"2506.09344","title":"Ming-Omni: A Unified Multimodal Model for Perception and Generation","created":"2025-06-11","cited_by_count":66,"area":null},{"id":"2504.02782","title":"GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation","created":"2025-04-03","cited_by_count":58,"area":null},{"id":"2505.14671","title":"UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens","created":"2025-05-20","cited_by_count":56,"area":null},{"id":"2503.13436","title":"Unified Autoregressive Visual Generation and Understanding with Continuous Tokens","created":"2025-03-17","cited_by_count":51,"area":null},{"id":"2505.05422","title":"TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation","created":"2025-05-08","cited_by_count":51,"area":null},{"id":"2509.07295","title":"Reconstruction Alignment Improves Unified Multimodal Models","created":"2025-09-08","cited_by_count":49,"area":null},{"id":"2505.23661","title":"OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation","created":"2025-05-29","cited_by_count":46,"area":null},{"id":"2507.23278","title":"UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing","created":"2025-07-31","cited_by_count":44,"area":null},{"id":"2509.04548","title":"Skywork UniPic 2.0: Building Kontext Model with Online RL for Unified Multimodal Model","created":"2025-09-04","cited_by_count":41,"area":null},{"id":"2509.06945","title":"Interleaving Reasoning for Better Text-to-Image Generation","created":"2025-09-08","cited_by_count":41,"area":null},{"id":"2507.06119","title":"Omni-Video: Democratizing Unified Video Understanding and Generation","created":"2025-07-08","cited_by_count":40,"area":null},{"id":"2505.23493","title":"R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation","created":"2025-05-29","cited_by_count":32,"area":null},{"id":"2601.03193","title":"UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision","created":"2026-01-06","cited_by_count":26,"area":null},{"id":"2509.26625","title":"Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training","created":"2025-09-30","cited_by_count":23,"area":null},{"id":"2502.13081","title":"Personalized Image Generation with Deep Generative Models: A Decade Survey","created":"2025-02-18","cited_by_count":20,"area":null},{"id":"2510.08673","title":"Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation","created":"2025-10-09","cited_by_count":19,"area":null},{"id":"2510.03506","title":"OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows","created":"2025-10-03","cited_by_count":17,"area":null},{"id":"2511.07222","title":"Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images","created":"2025-11-10","cited_by_count":17,"area":null},{"id":"2511.11483","title":"ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation","created":"2025-11-14","cited_by_count":17,"area":null},{"id":"2601.10129","title":"LaViT: Aligning Latent Visual Thoughts for Multi-modal Reasoning","created":"2026-01-15","cited_by_count":15,"area":null},{"id":"2504.20996","title":"X-Fusion: Introducing New Modality to Frozen Large Language Models","created":"2025-04-29","cited_by_count":13,"area":null},{"id":"2505.02471","title":"Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction","created":"2025-05-05","cited_by_count":13,"area":null},{"id":"2511.01163","title":"ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation","created":"2025-11-03","cited_by_count":13,"area":null},{"id":"2509.12474","title":"Image Tokenizer Needs Post-Training","created":"2025-09-15","cited_by_count":12,"area":null},{"id":"2602.02140","title":"Quantifying the Gap between Understanding and Generation within Unified Multimodal Models","created":"2026-02-02","cited_by_count":12,"area":null},{"id":"2503.08354","title":"Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis","created":"2025-03-11","cited_by_count":10,"area":null},{"id":"2511.20561","title":"Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward","created":"2025-11-25","cited_by_count":10,"area":null},{"id":"2507.15085","title":"OCRGenBench: A Comprehensive Benchmark for Evaluating OCR Generative Capabilities","created":"2025-07-20","cited_by_count":9,"area":null},{"id":"2512.00993","title":"PhotoFramer: Multi-modal Image Composition Instruction","created":"2025-11-30","cited_by_count":9,"area":null},{"id":"2506.08071","title":"CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems","created":"2025-06-09","cited_by_count":8,"area":null},{"id":"2511.13945","title":"Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers","created":"2025-11-17","cited_by_count":8,"area":null},{"id":"2604.02097","title":"LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model","created":"2026-04-02","cited_by_count":8,"area":null},{"id":"2602.08336","title":"UReason: Benchmarking Reasoning-to-Generation Alignment in Unified Multimodal Models","created":"2026-02-09","cited_by_count":7,"area":null},{"id":"2602.17149","title":"TimeOmni-VL: Unified Models for Time Series Understanding and Generation","created":"2026-02-19","cited_by_count":7,"area":null},{"id":"2508.01119","title":"The Promise of RL for Autoregressive Image Editing","created":"2025-08-01","cited_by_count":6,"area":null},{"id":"2512.03125","title":"Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models","created":"2025-12-02","cited_by_count":6,"area":null},{"id":"2603.06043","title":"Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models","created":"2026-03-06","cited_by_count":6,"area":null},{"id":"2507.01792","title":"FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization","created":"2025-07-02","cited_by_count":5,"area":null},{"id":"2510.20803","title":"ARGenSeg: Image Segmentation with Autoregressive Image Generation Model","created":"2025-10-23","cited_by_count":5,"area":null},{"id":"2603.17840","title":"Video Understanding: From Geometry and Semantics to Unified Models","created":"2026-03-18","cited_by_count":5,"area":null},{"id":"2603.25706","title":"Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training","created":"2026-03-26","cited_by_count":5,"area":null},{"id":"2505.19149","title":"MIND-Edit: MLLM Insight-Driven Editing via Language-Vision Projection","created":"2025-05-25","cited_by_count":4,"area":null},{"id":"2506.08002","title":"Aligning Text, Images, and 3D Structure Token-by-Token","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2512.23512","title":"UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?","created":"2025-12-29","cited_by_count":4,"area":null},{"id":"2602.10095","title":"Causality in Video Diffusers is Separable from Denoising","created":"2026-02-10","cited_by_count":4,"area":null},{"id":"2507.21117","title":"A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges","created":"2025-07-17","cited_by_count":3,"area":null},{"id":"2510.20860","title":"Data-Centric Lessons To Improve Speech-Language Pretraining","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2512.05103","title":"TV2TV: A Unified Framework for Interleaved Language and Video Generation","created":"2025-12-04","cited_by_count":3,"area":null},{"id":"2602.06442","title":"ChatUMM: Robust Context Tracking for Conversational Interleaved Generation","created":"2026-02-06","cited_by_count":3,"area":null},{"id":"2605.05781","title":"Steering Visual Generation in Unified Multimodal Models with Understanding Supervision","created":"2026-05-07","cited_by_count":3,"area":null},{"id":"2606.17296","title":"Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration","created":"2026-06-15","cited_by_count":3,"area":null},{"id":"2607.04423","title":"Transferability Between Understanding and Generation in Unified Multimodal Models","created":"2026-07-05","cited_by_count":3,"area":null},{"id":"2608.05000","title":"Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes","created":"2026-08-05","cited_by_count":3,"area":null},{"id":"2609.08282","title":"Dreaming in Flow: Generative Grounding Feedback for Self-Evolving Unified Multimodal Models","created":"2026-09-08","cited_by_count":3,"area":null},{"id":"2507.06137","title":"NeoBabel: A Multilingual Open Tower for Visual Generation","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2512.01816","title":"Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights","created":"2025-12-01","cited_by_count":2,"area":null},{"id":"2512.21643","title":"Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation","created":"2025-12-25","cited_by_count":2,"area":null},{"id":"2603.27332","title":"Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models","created":"2026-03-28","cited_by_count":2,"area":null},{"id":"2606.00188","title":"PaintBench: Deterministic Evaluation of Precise Visual Editing","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2606.13289","title":"HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers","created":"2026-06-11","cited_by_count":2,"area":null},{"id":"2506.06952","title":"LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer","created":"2025-06-08","cited_by_count":1,"area":null},{"id":"2509.14738","title":"UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2511.01593","title":"Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2601.05572","title":"Towards Generalized Multi-Image Editing for Unified Multimodal Models","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2602.20161","title":"Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device","created":"2026-02-23","cited_by_count":1,"area":null},{"id":"2603.27531","title":"OmniColor: A Unified Framework for Multi-modal Lineart Colorization","created":"2026-03-29","cited_by_count":1,"area":null},{"id":"2512.07747","title":"Unison: A Fully Automatic, Task-Universal, and Low-Cost Framework for Unified Understanding and Generation","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2602.09587","title":"MieDB-100k: A Comprehensive Dataset for Medical Image Editing","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2603.09217","title":"TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2605.18714","title":"Semantic Generative Tuning for Unified Multimodal Models","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.31603","title":"Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.28696","title":"COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2607.17140","title":"STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2608.02711","title":"Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.17564","title":"Where a New Concept Must Enter: Entry Point Gates Cross-Task Usability in Unified Multimodal Models","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2608.28603","title":"C3-UniMM: Causal Cycle-Consistent Unified Multimodal Modeling via Super Alignment and Shared Decoding Space","created":"2026-07-04","cited_by_count":0,"area":null},{"id":"2609.04196","title":"Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.38465","title":"Does Gradient Conflict Predict the Understanding--Generation Trade-off? A Controlled Audit of Conflict-Metric Validity in Unified Multimodal Models","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}