{"total":32,"rows":[{"id":"2309.05519","title":"NExT-GPT: Any-to-Any Multimodal LLM","created":"2023-09-11","cited_by_count":615,"area":"mllm"},{"id":"2401.13601","title":"MM-LLMs: Recent Advances in MultiModal Large Language Models","created":"2024-01-24","cited_by_count":278,"area":"mllm"},{"id":"2402.12226","title":"AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling","created":"2024-02-19","cited_by_count":217,"area":"mllm"},{"id":"2501.00289","title":"Dual Diffusion for Unified Image Generation and Understanding","created":"2024-12-31","cited_by_count":76,"area":"mllm"},{"id":"2404.07214","title":"Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions","created":"2024-02-20","cited_by_count":68,"area":"mllm"},{"id":"2311.18775","title":"CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation","created":"2023-11-30","cited_by_count":63,"area":"mllm"},{"id":"2408.01319","title":"A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks","created":"2024-08-02","cited_by_count":57,"area":"mllm"},{"id":"2405.05949","title":"CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts","created":"2024-05-09","cited_by_count":56,"area":"mllm"},{"id":"2412.08635","title":"Multimodal Latent Language Modeling with Next-Token Diffusion","created":"2024-12-11","cited_by_count":48,"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":"2311.16511","title":"GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation","created":"2023-11-25","cited_by_count":36,"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":"2505.23380","title":"UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning","created":"2025-05-29","cited_by_count":24,"area":"mllm"},{"id":"2412.09501","title":"Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition","created":"2024-12-12","cited_by_count":20,"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":"2410.07593","title":"A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks","created":"2024-10-10","cited_by_count":18,"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":"2309.04041","title":"Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models","created":"2023-09-07","cited_by_count":13,"area":"mllm"},{"id":"2404.05621","title":"MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning","created":"2024-04-08","cited_by_count":13,"area":"mllm"},{"id":"2408.02503","title":"UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model","created":"2024-08-05","cited_by_count":13,"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":"2402.13636","title":"A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models","created":"2024-02-21","cited_by_count":11,"area":"mllm"},{"id":"2402.14891","title":"LLMBind: A Unified Modality-Task Integration Framework","created":"2024-02-22","cited_by_count":7,"area":"mllm"},{"id":"2410.04819","title":"MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models","created":"2024-10-07","cited_by_count":7,"area":"mllm"},{"id":"2411.09439","title":"Spider: Any-to-Many Multimodal LLM","created":"2024-11-14","cited_by_count":6,"area":"mllm"},{"id":"2506.07575","title":"Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models","created":"2025-06-09","cited_by_count":5,"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":"2412.09612","title":"Olympus: A Universal Task Router for Computer Vision Tasks","created":"2024-12-12","cited_by_count":4,"area":"mllm"},{"id":"2505.01091","title":"Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation","created":"2025-05-02","cited_by_count":3,"area":"mllm"},{"id":"2311.17963","title":"M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation","created":"2023-11-29","cited_by_count":2,"area":"mllm"},{"id":"2407.08196","title":"SoupLM: Model Integration in Large Language and Multi-Modal Models","created":"2024-07-11","cited_by_count":0,"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"}],"next_cursor":null}