{"total":27,"rows":[{"id":"2506.13759","title":"Discrete Diffusion in Large Language and Multimodal Models: A Survey","created":"2025-06-16","cited_by_count":61,"area":"mllm"},{"id":"2412.12077","title":"CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology","created":"2024-12-16","cited_by_count":34,"area":"mllm"},{"id":"2412.02573","title":"Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey","created":"2024-12-03","cited_by_count":23,"area":"mllm"},{"id":"2503.10127","title":"PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models","created":"2025-03-13","cited_by_count":18,"area":"mllm"},{"id":"2503.01619","title":"Advancing vision-language models in front-end development via data synthesis","created":"2025-03-03","cited_by_count":16,"area":"mllm"},{"id":"2506.03139","title":"SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation","created":"2025-06-03","cited_by_count":16,"area":"mllm"},{"id":"2508.09945","title":"VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models","created":"2025-08-13","cited_by_count":16,"area":"mllm"},{"id":"2505.19892","title":"OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging","created":"2025-05-26","cited_by_count":13,"area":"mllm"},{"id":"2602.01785","title":"Seeing is Coding: On the Effectiveness of Vision Language Models in Code Understanding","created":"2026-02-02","cited_by_count":13,"area":"mllm"},{"id":"2602.00135","title":"LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models","created":"2026-01-28","cited_by_count":11,"area":"mllm"},{"id":"2505.18411","title":"DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding","created":"2025-05-23","cited_by_count":7,"area":"mllm"},{"id":"2502.15210","title":"PairBench: Are Vision-Language Models Reliable at Comparing What They See?","created":"2025-02-21","cited_by_count":6,"area":"mllm"},{"id":"2601.20796","title":"Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers","created":"2026-01-28","cited_by_count":5,"area":"mllm"},{"id":"2510.18262","title":"UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding","created":"2025-10-21","cited_by_count":4,"area":"mllm"},{"id":"2603.25804","title":"RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation","created":"2026-03-26","cited_by_count":4,"area":"mllm"},{"id":"2503.21889","title":"StarFlow: Generating Structured Workflow Outputs From Sketch Images","created":"2025-03-27","cited_by_count":3,"area":"mllm"},{"id":"2508.02429","title":"Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting","created":"2025-08-04","cited_by_count":3,"area":"mllm"},{"id":"2603.14957","title":"CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation Models","created":"2026-03-16","cited_by_count":3,"area":"mllm"},{"id":"2412.16555","title":"Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models","created":"2024-12-21","cited_by_count":1,"area":"mllm"},{"id":"2507.03958","title":"A Comparative Study of Specialized LLMs as Dense Retrievers","created":"2025-07-05","cited_by_count":1,"area":"mllm"},{"id":"2605.12237","title":"UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs","created":"2026-05-12","cited_by_count":1,"area":"mllm"},{"id":"2605.29655","title":"SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation","created":"2026-05-28","cited_by_count":1,"area":"mllm"},{"id":"2507.09155","title":"OPENXRD: A Comprehensive Benchmark Framework for LLM/MLLM XRD Question Answering","created":"2025-07-12","cited_by_count":0,"area":"mllm"},{"id":"2601.02201","title":"CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents","created":"2026-01-05","cited_by_count":0,"area":"mllm"},{"id":"2602.06402","title":"MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing","created":"2026-02-06","cited_by_count":0,"area":"mllm"},{"id":"2606.28401","title":"Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2606.31383","title":"MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs","created":"2026-06-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}