Key papers

• Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation (2026)
  Guoxuan Chen et al.
  14.86
• InterleaveThinker: Reinforcing Agentic Interleaved Generation (2026)
  Dian Zheng et al.
  14.27
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories (2026)
  Baochang Ren et al.
  13.47
• Vision as Unified Multimodal Generation (2026)
  Xiaoyang Han et al.
  12.51
• OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains (2026)
  Xinyue Cai et al.
  10.48
• Text-Vision Co-Instructed Image Editing (2026)
  Chenxi Xie et al.
  9.79
• On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models (2026)
  Chongyang Zhao et al.
  9.43
• Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training (2026)
  Peng Sun et al.
  9.30
• VINO: A Unified Visual Generator with Interleaved OmniModal Context (2026)
  Junyi Chen et al.
  8.99
• Vision-language Modeling Meets Remote Sensing: Models, Datasets And Perspectives (2025)
  Xingxing Weng, Chao Pang, Gui-Song Xia
  7.88
• Mca-llava: Manhattan Causal Attention For Reducing Hallucination In Large Vision-language Models (2025)
  Qiyan Zhao, Xiaofeng Zhang, Yiheng Li, et al.
  7.37
• Mathcoder-vl: Bridging Vision And Code For Enhanced Multimodal Mathematical Reasoning (2025)
  Ke Wang, Junting Pan, Linda Wei, et al.
  7.33
• MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets (2023)
  Lai Wei et al.
  6.88
• Qoq-med: Building Multimodal Clinical Foundation Models With Domain-aware GRPO Training (2025)
  Wei Dai, Peilin Chen, Chanakya Ekbote, et al.
  6.84
• Shapellm-omni: A Native Multimodal LLM For 3D Generation And Understanding (2025)
  Junliang Ye, Zhengyi Wang, Ruowen Zhao, et al.
  6.71
• Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling (2025)
  Xiaokang Chen et al.
  6.47
• Omnigen2: Towards Instruction-aligned Multimodal Generation (2025)
  Chenyuan Wu, Pengfei Zheng, Ruiran Yan, et al.
  6.32
• PathReasoner-R1: Instilling Structured Reasoning into Pathology Vision-Language Model via Knowledge-Guided Policy Optimization (2026)
  Songhan Jiang et al.
  6.23
• Medical Knowledge Intervention Prompt Tuning For Medical Image Classification (2025)
  Ye Du, Nanxi Yu, Shujun Wang
  6.12
• MIMO: A Medical Vision Language Model With Visual Referring Multimodal Input And Pixel Grounding Multimodal Output (2025)
  Yanyuan Chen, Dexuan Xu, Yu Huang, et al.
  6.01
• Vquala 2025 Challenge On Visual Quality Comparison For Large Multimodal Models: Methods And Results (2025)
  Hanwei Zhu, Haoning Wu, Zicheng Zhang, et al.
  6.01
• Infigui-g1: Advancing GUI Grounding With Adaptive Exploration Policy Optimization (2025)
  Yuhang Liu, Zeyu Liu, Shuanghe Zhu, et al.
  5.87
• Hierarchical-task-aware Multi-modal Mixture Of Incremental Lora Experts For Embodied Continual Learning (2025)
  Ziqi Jia, Anmin Wang, Xiaoyang Qu, et al.
  5.70
• ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization (2024)
  Fanrui Zhang et al.
  5.40
• Noteit: A System Converting Instructional Videos To Interactable Notes Through Multimodal Video Understanding (2025)
  Running Zhao, Zhihan Jiang, Xinchen Zhang, et al.
  5.35
• GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing (2026)
  Yujie Li et al.
  4.95
• Seeing or Knowing? Visual Context Sensitivity in Multimodal Large Language Models (2026)
  Jiaang Li et al.
  4.95
• TPCD: Tone-Pressure Contrastive Decoding and the Label-Free Gating Bottleneck in Vision-Language Models (2026)
  Jinkun Zhao et al.
  4.95
• Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution (2026)
  Mingkuan Feng et al.
  4.95
• Progressive Multimodal Alignment for Continual Instruction Tuning (2026)
  Duzhen Zhang et al.
  4.95
• Emovlm-kd: Fusing Distilled Expertise With Vision-language Models For Visual Emotion Analysis (2025)
  Sangeun Lee, Yubeen Lee, Eunil Park
  4.93
• Scaling Up Biomedical Vision-language Models: Fine-tuning, Instruction Tuning, And Multi-modal Learning (2025)
  Cheng Peng, Kai Zhang, Mengxian Lyu, et al.
  4.93
• Trajectory-Level Redirection Attacks on Vision-Language-Action Models (2026)
  Gokul Puthumanaillam et al.
  4.90
• Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation (2025)
  Niccolo Avogaro et al.
  4.76
• The Thinking Boundary: Quantifying Reasoning Suitability of Multimodal Tasks via Dual Tuning (2026)
  Ruobing Zheng et al.
  4.70
• Adaptive Markup Language Generation For Contextually-grounded Visual Document Understanding (2025)
  Han Xiao, Yina Xie, Guanxin Tan, et al.
  4.56
• Shizhengpt: Towards Multimodal Llms For Traditional Chinese Medicine (2025)
  Junying Chen, Zhenyang Cai, Zhiheng Liu, et al.
  4.53
• MC-LLaVA: Multi-Concept Personalized Vision-Language Model (2024)
  Ruichuan An et al.
  4.52
• Multi-modal Multi-task (M3T) Federated Foundation Models For Embodied AI: Potentials And Challenges For Edge Integration (2025)
  Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi, et al.
  4.42
• Collaborative Multi-lora Experts With Achievement-based Multi-tasks Loss For Unified Multimodal Information Extraction (2025)
  Li Yuan, Yi Cai, Xudong Shen, et al.
  4.42
• Wiswheat: A Three-tiered Vision-language Dataset For Wheat Management (2025)
  Bowen Yuan, Selena Song, Javier Fernandez, et al.
  4.42
• Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos (2025)
  Markos Stamatakis et al.
  4.36
• iFLYTEK-Embodied-Omni Technical Report (2026)
  Yuan Zhang et al.
  4.33
• Attending to Multimodal Generation One Token at a Time (2026)
  Varun Gupta et al.
  4.33
• IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems (2026)
  Shwetha Singaravelu et al.
  4.33
• ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models (2025)
  Amirhosein Chahe and Lifeng Zhou
  4.30
• Continual Learning For Generative AI: From Llms To Mllms And Beyond (2025)
  Haiyang Guo, Fanhu Zeng, Fei Zhu, et al.
  4.29
• VCIFBench: Evaluating Complex Instruction Following for Video Understanding (2026)
  Huangchen Xu et al.
  4.27
• BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine (2026)
  Yang Liu et al.
  4.27
• Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance (2026)
  Kaustav Kundu et al.
  4.27
• Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning (2026)
  Yu Zhu et al.
  4.27
• Beyond English: Uncovering the Multilingual Gap in Vision-Language-Action Models (2026)
  Hanyang Chen et al.
  4.27
• The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages (2026)
  Miso Choi et al.
  4.27
• Curvature-Guided Mixing for MLLM Adaptation (2026)
  Jinglong Yang et al.
  4.27
• Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety (2026)
  Shikai Qiu et al.
  4.27
• SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery (2026)
  Filippos Bellos et al.
  4.27
• ALM2Vec: Learning Audio Embeddings for Universal Audio Retrieval with Large Audio-Language Models (2026)
  Fengjie Lu et al.
  4.27
• A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models (2026)
  Iosif Tsangko et al.
  4.22
• Personalize Your Large Vision-language Models With In-context Prompt Tuning (2026)
  Yanshu Li et al.
  4.22
• Mindomni: Unleashing Reasoning Generation In Vision Language Models With RGPO (2025)
  Yicheng Xiao, Lin Song, Yukang Chen, et al.
  4.21