{"total":39,"rows":[{"id":"2111.07783","title":"FILIP: Fine-grained Interactive Language-Image Pre-Training","created":"2021-11-09","cited_by_count":627,"area":"mllm"},{"id":"2309.05519","title":"NExT-GPT: Any-to-Any Multimodal LLM","created":"2023-09-11","cited_by_count":615,"area":"mllm"},{"id":"2206.02779","title":"Blended Latent Diffusion","created":"2022-06-06","cited_by_count":432,"area":"mllm"},{"id":"2309.11499","title":"DreamLLM: Synergistic Multimodal Comprehension and Creation","created":"2023-09-20","cited_by_count":297,"area":"mllm"},{"id":"2305.17216","title":"Generating Images with Multimodal Language Models","created":"2023-05-26","cited_by_count":260,"area":"mllm"},{"id":"2307.00716","title":"JourneyDB: A Benchmark for Generative Image Understanding","created":"2023-07-03","cited_by_count":205,"area":"mllm"},{"id":"2211.12561","title":"Retrieval-Augmented Multimodal Language Modeling","created":"2022-11-22","cited_by_count":125,"area":"mllm"},{"id":"2210.09263","title":"Vision-Language Pre-training: Basics, Recent Advances, and Future Trends","created":"2022-10-17","cited_by_count":117,"area":"mllm"},{"id":"2408.03361","title":"GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI","created":"2024-08-06","cited_by_count":96,"area":"mllm"},{"id":"2210.07688","title":"Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training","created":"2022-10-14","cited_by_count":72,"area":"mllm"},{"id":"2410.18558","title":"Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data","created":"2024-10-24","cited_by_count":67,"area":"mllm"},{"id":"2412.06673","title":"ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance","created":"2024-12-09","cited_by_count":64,"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":"2401.11944","title":"CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark","created":"2024-01-22","cited_by_count":56,"area":"mllm"},{"id":"2411.19722","title":"JetFormer: An Autoregressive Generative Model of Raw Images and Text","created":"2024-11-29","cited_by_count":46,"area":"mllm"},{"id":"2405.15232","title":"DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception","created":"2024-05-24","cited_by_count":32,"area":"mllm"},{"id":"2407.04346","title":"MobileFlow: A Multimodal LLM For Mobile GUI Agent","created":"2024-07-05","cited_by_count":32,"area":"mllm"},{"id":"2405.01926","title":"Auto-Encoding Morph-Tokens for Multimodal LLM","created":"2024-05-03","cited_by_count":30,"area":"mllm"},{"id":"2405.13581","title":"Safety Alignment for Vision Language Models","created":"2024-05-22","cited_by_count":28,"area":"mllm"},{"id":"2310.06311","title":"Improving Compositional Text-to-image Generation with Large Vision-Language Models","created":"2023-10-10","cited_by_count":24,"area":"mllm"},{"id":"2411.14522","title":"GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI","created":"2024-11-21","cited_by_count":24,"area":"mllm"},{"id":"2206.07699","title":"Write and Paint: Generative Vision-Language Models are Unified Modal Learners","created":"2022-06-15","cited_by_count":17,"area":"mllm"},{"id":"2210.04506","title":"Bridging CLIP and StyleGAN through Latent Alignment for Image Editing","created":"2022-10-10","cited_by_count":12,"area":"mllm"},{"id":"2406.05814","title":"TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models","created":"2024-06-09","cited_by_count":12,"area":"mllm"},{"id":"2401.14688","title":"Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support","created":"2024-01-26","cited_by_count":11,"area":"mllm"},{"id":"2503.01019","title":"MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations","created":"2025-03-02","cited_by_count":11,"area":"mllm"},{"id":"2505.16763","title":"Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation","created":"2025-05-22","cited_by_count":10,"area":"mllm"},{"id":"2507.21391","title":"Multimodal LLMs as Customized Reward Models for Text-to-Image Generation","created":"2025-07-28","cited_by_count":10,"area":"mllm"},{"id":"2404.13784","title":"Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images","created":"2024-04-21","cited_by_count":9,"area":"mllm"},{"id":"2509.20146","title":"EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models","created":"2025-09-24","cited_by_count":9,"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":"2402.14891","title":"LLMBind: A Unified Modality-Task Integration Framework","created":"2024-02-22","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":"2203.11480","title":"WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models","created":"2022-03-22","cited_by_count":4,"area":"mllm"},{"id":"2409.16494","title":"A Unified Hallucination Mitigation Framework for Large Vision-Language Models","created":"2024-09-24","cited_by_count":3,"area":"mllm"},{"id":"2511.22664","title":"VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models","created":"2025-11-27","cited_by_count":3,"area":"mllm"},{"id":"2405.16803","title":"TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing","created":"2024-05-27","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":"2506.14015","title":"Disentangling 3D from Large Vision-Language Models for Controlled Portrait Generation","created":"2025-06-16","cited_by_count":0,"area":"mllm"}],"next_cursor":null}