{"total":29,"rows":[{"id":"2311.16502","title":"MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI","created":"2023-11-27","cited_by_count":2080,"area":null},{"id":"2409.02813","title":"MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark","created":"2024-09-04","cited_by_count":512,"area":null},{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2310.01218","title":"Making LLaMA SEE and Draw with SEED Tokenizer","created":"2023-10-02","cited_by_count":185,"area":null},{"id":"2402.19474","title":"The All-Seeing Project V2: Towards General Relation Comprehension of the Open World","created":"2024-02-29","cited_by_count":90,"area":null},{"id":"2406.08418","title":"OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text","created":"2024-06-12","cited_by_count":59,"area":null},{"id":"2402.16117","title":"RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis","created":"2024-02-25","cited_by_count":58,"area":null},{"id":"2312.09251","title":"VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation","created":"2023-12-14","cited_by_count":41,"area":null},{"id":"2312.16602","title":"Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey","created":"2023-12-27","cited_by_count":29,"area":null},{"id":"2308.16463","title":"Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models","created":"2023-08-31","cited_by_count":28,"area":null},{"id":"2412.18619","title":"Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey","created":"2024-12-16","cited_by_count":27,"area":null},{"id":"2405.17927","title":"The Evolution of Multimodal Model Architectures","created":"2024-05-28","cited_by_count":21,"area":null},{"id":"2502.18778","title":"M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2412.16524","title":"LLaVA-SLT: Visual Language Tuning for Sign Language Translation","created":"2024-12-21","cited_by_count":14,"area":null},{"id":"2401.10222","title":"Supervised Fine-tuning in turn Improves Visual Foundation Models","created":"2024-01-18","cited_by_count":13,"area":null},{"id":"2502.15803","title":"Megrez-Omni Technical Report","created":"2025-02-19","cited_by_count":7,"area":null},{"id":"2410.13754","title":"MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2407.19178","title":"Power-LLaVA: Large Language and Vision Assistant for Power Transmission Line Inspection","created":"2024-07-27","cited_by_count":3,"area":null},{"id":"2508.00311","title":"DocTron-Formula: Generalized Formula Recognition in Complex and Structured Scenarios","created":"2025-08-01","cited_by_count":3,"area":null},{"id":"2402.00453","title":"Instruction Makes a Difference","created":"2024-02-01","cited_by_count":2,"area":null},{"id":"2407.17854","title":"Shapley Value-based Contrastive Alignment for Multimodal Information Extraction","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2505.18115","title":"Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2509.01610","title":"Improving Large Vision and Language Models by Learning from a Panel of Peers","created":"2025-09-01","cited_by_count":1,"area":null},{"id":"2601.20911","title":"Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2606.05552","title":"Balancing Image Compression and Generation with Bootstrapped Tokenization","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2512.14620","title":"JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2605.02589","title":"Representation learning from OCT images","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2607.15299","title":"MLLM-DataEngine: Closing the Loop of Multimodal Instruction Tuning Data Generation","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2608.11692","title":"HUGIN: Enhancing Vision-Language Planning for Autonomous Logistics Sorting","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}