{"total":20,"rows":[{"id":"2604.24763","title":"Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation","created":"2026-04-27","cited_by_count":18,"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":"2511.20561","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":"2507.12820","title":"Emotional Support with LLM-based Empathetic Dialogue Generation","created":"2025-07-17","cited_by_count":4,"area":null},{"id":"2605.09430","title":"FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation","created":"2026-05-10","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":"2512.02457","title":"Does Hearing Help Seeing? Investigating Audio-Video Joint Denoising for Video Generation","created":"2025-12-02","cited_by_count":2,"area":null},{"id":"2603.10495","title":"IMTBench: A Multi-Scenario Cross-Modal Collaborative Evaluation Benchmark for In-Image Machine Translation","created":"2026-03-11","cited_by_count":2,"area":null},{"id":"2512.15420","title":"FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows","created":"2025-12-17","cited_by_count":1,"area":null},{"id":"2601.00561","title":"AEGIS: Exploring the Limit of World Knowledge Capabilities for Unified Mulitmodal Models","created":"2026-01-02","cited_by_count":1,"area":null},{"id":"2603.21176","title":"GIDE: Unlocking Diffusion LLMs for Precise Training-Free Image Editing","created":"2026-03-22","cited_by_count":1,"area":null},{"id":"2606.24333","title":"UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2606.30054","title":"Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2605.08129","title":"Towards Customized Multimodal Role-Play","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.08724","title":"SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2606.09169","title":"IMUG-Bench: Benchmarking Unified Multimodal Models on Interleaved Understanding and Generation","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2607.25527","title":"Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2609.40362","title":"Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.10990","title":"Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.16552","title":"Making Language the Low-Rate Code of Vision: Successive Refinement from Words to Pixels","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}