Key papers

• Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation (2026)
  Guoxuan Chen et al.
  14.86
• Orca: The World is in Your Mind (2026)
  Yihao Wang et al.
  14.63
• 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
• In-Context World Modeling for Robotic Control (2026)
  Siyin Wang et al.
  13.08
• STEP3-VL-10B Technical Report (2026)
  Ailin Huang et al.
  12.96
• ViQ: Text-Aligned Visual Quantized Representations at Any Resolution (2026)
  Xumin Yu et al.
  12.77
• Vision as Unified Multimodal Generation (2026)
  Xiaoyang Han et al.
  12.51
• Urban Socio-Semantic Segmentation with Vision-Language Reasoning (2026)
  Yu Wang et al.
  12.47
• Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models (2026)
  Wenxuan Huang et al.
  12.47
• Orchestra-o1: Omnimodal Agent Orchestration (2026)
  Fan Zhang et al.
  12.09
• VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval (2026)
  Issar Tzachor et al.
  12.05
• PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models (2026)
  Yueyi Sun et al.
  11.97
• Geometric Action Model for Robot Policy Learning (2026)
  Jisang Han et al.
  11.95
• Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models (2026)
  Yu Zeng et al.
  11.94
• Representation Forcing for Bottleneck-Free Unified Multimodal Models (2026)
  Yuqing Wang et al.
  11.79
• Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On (2026)
  Yong Liu et al.
  11.70
• FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios (2026)
  Xiangru Jian et al.
  11.59
• V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning (2026)
  Haoxiang Sun et al.
  11.36
• VisionZip: Longer is Better but Not Necessary in Vision Language Models (2024)
  Senqiao Yang et al.
  11.27
• VisualClaw: A Real-Time, Personalized Agent for the Physical World (2026)
  Haoqin Tu et al.
  11.11
• Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation (2026)
  Jie Zhang et al.
  11.02
• Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning (2026)
  Lei Zhang et al.
  11.00
• SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning (2026)
  Haoyu Huang et al.
  10.63
• Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception (2026)
  Lai Wei et al.
  10.61
• NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generation (2026)
  Huichao Zhang et al.
  10.55
• FASTER: Rethinking Real-Time Flow VLAs (2026)
  Yuxiang Lu et al.
  10.52
• TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers (2026)
  Bin Yu et al.
  10.48
• MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data (2026)
  Zongxia Li et al.
  10.30
• Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning (2026)
  Chi-Pin Huang et al.
  10.26
• LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning (2025)
  Zhibin Lan et al.
  10.20
• Scaling Native Multimodal Pre-Training From Scratch (2026)
  Haoyuan Wu et al.
  10.19
• InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing (2026)
  Changyao Tian et al.
  10.09
• UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision (2026)
  Ruiyan Han et al.
  10.06
• Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints (2026)
  Thomas MacDougall et al.
  10.00
• MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities (2026)
  Mingqiao Ye et al.
  10.00
• Think3D: Thinking with Space for Spatial Reasoning (2026)
  Zaibin Zhang et al.
  9.98
• Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning (2026)
  Junha Jung et al.
  9.95
• Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator (2026)
  Luozheng Qin and Jia Gong and Qian Qiao and Tianjiao Li and Li Xu and Haoyu Pan and Chao Qu and Zhiyu Tan and Hao Li
  9.91
• Text-Vision Co-Instructed Image Editing (2026)
  Chenxi Xie et al.
  9.79
• VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents (2026)
  Zirui Wang et al.
  9.59
• SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL (2026)
  Lijun Liu et al.
  9.54
• Watch Before You Answer: Learning from Visually Grounded Post-Training (2026)
  Yuxuan Zhang et al.
  9.54
• IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation (2026)
  Zixuan Li et al.
  9.48
• Vision-language-action Models For Robotics: A Review Towards Real-world Applications (2025)
  Kento Kawaharazuka, Jihoon Oh, Jun Yamada, et al.
  9.48
• Efficient Multimodal Large Language Models: A Survey (2024)
  Yizhang Jin et al.
  9.43
• GutenOCR: A Grounded Vision-Language Front-End for Documents (2026)
  Hunter Heidenreich et al.
  9.43
• 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
• Adaptclip: Adapting CLIP For Universal Visual Anomaly Detection (2025)
  Bin-Bin Gao, Yue Zhou, Jiangtao Yan, et al.
  9.42
• Omnivec2 -- A Novel Transformer Based Network For Large Scale Multimodal And Multitask Learning (2025)
  Siddharth Srivastava, Gaurav Sharma
  9.34
• Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training (2026)
  Peng Sun et al.
  9.30
• UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer (2026)
  Shuai Wang et al.
  9.22
• Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification (2026)
  Wujian Peng et al.
  9.22
• Reinforcing Dual-Path Reasoning in Spatial Vision Language Models (2026)
  Yatai Ji et al.
  9.07
• SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning (2026)
  SingGuard Team
  9.00
• VINO: A Unified Visual Generator with Interleaved OmniModal Context (2026)
  Junyi Chen et al.
  8.99
• Multimodal Fake News Detection: MFND Dataset And Shallow-deep Multitask Learning (2025)
  Ye Zhu, Yunan Wang, Zitong Yu
  8.98
• TACFN: Transformer-based Adaptive Cross-modal Fusion Network For Multimodal Emotion Recognition (2025)
  Feng Liu, Ziwang Fu, Yunlong Wang, et al.
  8.93
• X-SAM: From Segment Anything to Any Segmentation (2025)
  Hao Wang et al.
  8.91
• DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies (2025)
  Wei Song et al.
  8.89