{"total":36,"rows":[{"id":"2501.02189","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","created":"2025-01-04","cited_by_count":47,"area":"mllm"},{"id":"2505.20147","title":"FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities","created":"2025-05-26","cited_by_count":46,"area":"mllm"},{"id":"2503.19839","title":"FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model","created":"2025-03-25","cited_by_count":32,"area":"mllm"},{"id":"2505.14682","title":"UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation","created":"2025-05-20","cited_by_count":32,"area":"mllm"},{"id":"2605.12500","title":"SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture","created":"2026-05-12","cited_by_count":32,"area":"mllm"},{"id":"2504.08358","title":"LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs","created":"2025-04-11","cited_by_count":24,"area":"mllm"},{"id":"2512.21675","title":"UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture","created":"2025-12-25","cited_by_count":22,"area":"mllm"},{"id":"2410.10034","title":"TULIP: Token-length Upgraded CLIP","created":"2024-10-13","cited_by_count":19,"area":"mllm"},{"id":"2502.12148","title":"HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation","created":"2025-02-17","cited_by_count":18,"area":"mllm"},{"id":"2412.05818","title":"SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation","created":"2024-12-08","cited_by_count":15,"area":"mllm"},{"id":"2509.16197","title":"MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer","created":"2025-09-19","cited_by_count":15,"area":"mllm"},{"id":"2603.06577","title":"Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion","created":"2026-03-06","cited_by_count":13,"area":"mllm"},{"id":"2506.01480","title":"Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning","created":"2025-06-02","cited_by_count":9,"area":"mllm"},{"id":"2510.12789","title":"UniFusion: Vision-Language Model as Unified Encoder in Image Generation","created":"2025-10-14","cited_by_count":8,"area":"mllm"},{"id":"2511.14760","title":"UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning","created":"2025-11-18","cited_by_count":8,"area":"mllm"},{"id":"2512.13752","title":"STAR: STacked AutoRegressive Scheme for Unified Multimodal Learning","created":"2025-12-15","cited_by_count":6,"area":"mllm"},{"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":"2510.01546","title":"Growing Visual Generative Capacity for Pre-Trained MLLMs","created":"2025-10-02","cited_by_count":4,"area":"mllm"},{"id":"2510.06529","title":"VUGEN: Visual Understanding priors for GENeration","created":"2025-10-08","cited_by_count":3,"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":"2506.03591","title":"Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-Experts","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":"2511.23469","title":"Visual Generation Tuning","created":"2025-11-28","cited_by_count":2,"area":"mllm"},{"id":"2604.11490","title":"Anthropogenic Regional Adaptation in Multimodal Vision-Language Model","created":"2026-04-13","cited_by_count":2,"area":"mllm"},{"id":"2604.12652","title":"PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning","created":"2026-04-14","cited_by_count":2,"area":"mllm"},{"id":"2504.19860","title":"CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback","created":"2025-04-28","cited_by_count":1,"area":"mllm"},{"id":"2506.02015","title":"OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation","created":"2025-05-28","cited_by_count":1,"area":"mllm"},{"id":"2512.02536","title":"WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens","created":"2025-12-02","cited_by_count":1,"area":"mllm"},{"id":"2512.05422","title":"ParaUni: Enhance Generation in Unified Multimodal Model with Reinforcement-driven Hierarchical Parallel Information Interaction","created":"2025-12-05","cited_by_count":1,"area":"mllm"},{"id":"2602.07993","title":"MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance","created":"2026-02-08","cited_by_count":1,"area":"mllm"},{"id":"2602.23711","title":"Can Unified Generation and Understanding Models Maintain Semantic Equivalence Across Different Output Modalities?","created":"2026-02-27","cited_by_count":1,"area":"mllm"},{"id":"2605.16842","title":"Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models","created":"2026-05-16","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":"2609.35641","title":"Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts","created":"2026-09-28","cited_by_count":1,"area":"mllm"},{"id":"2506.20214","title":"UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation","created":"2025-06-25","cited_by_count":0,"area":"mllm"},{"id":"2602.14178","title":"UniWeTok: An Unified Binary Tokenizer with Codebook Size $\\mathit{2^{128}}$ for Unified Multimodal Large Language Model","created":"2026-02-15","cited_by_count":0,"area":"mllm"}],"next_cursor":null}