{"total":24,"rows":[{"id":"2506.18898","title":"Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations","created":"2025-06-23","cited_by_count":44,"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":"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":"2507.22920","title":"Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey","created":"2025-07-21","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":"2601.06965","title":"Unified Personalized Understanding, Generating and Editing","created":"2026-01-11","cited_by_count":8,"area":"mllm"},{"id":"2505.17726","title":"Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM","created":"2025-05-23","cited_by_count":7,"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":"2511.23469","title":"Visual Generation Tuning","created":"2025-11-28","cited_by_count":2,"area":"mllm"},{"id":"2603.12108","title":"EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation","created":"2026-03-12","cited_by_count":2,"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":"2606.11188","title":"ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations","created":"2026-06-09","cited_by_count":1,"area":"mllm"},{"id":"2606.23041","title":"SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models","created":"2026-06-22","cited_by_count":1,"area":"mllm"},{"id":"2609.38597","title":"PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation","created":"2026-09-29","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":"2509.22570","title":"UniMIC: Token-Based Multimodal Interactive Coding for Human-AI Collaboration","created":"2025-09-26","cited_by_count":0,"area":"mllm"},{"id":"2602.03533","title":"PnP-U3D: Plug-and-Play 3D Framework Bridging Autoregression and Diffusion for Unified Understanding and Generation","created":"2026-02-03","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"},{"id":"2602.19449","title":"Decoupling Vision and Language: Codebook Anchored Visual Adaptation","created":"2026-02-23","cited_by_count":0,"area":"mllm"},{"id":"2605.27038","title":"TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving","created":"2026-05-26","cited_by_count":0,"area":"mllm"},{"id":"2606.04264","title":"UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2608.17203","title":"Expressivity In Multimodal Contrastive Learning","created":"2026-08-17","cited_by_count":0,"area":"mllm"},{"id":"2609.29048","title":"Where Hallucinations Live: A Cross-Architecture Circuit in VQ-Tokenized Vision-Language Models","created":"2026-09-24","cited_by_count":0,"area":"mllm"},{"id":"2610.05413","title":"A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models","created":"2026-10-04","cited_by_count":0,"area":"mllm"}],"next_cursor":null}