Awesome Vision-Language Models

Key papers

• InterleaveThinker: Reinforcing Agentic Interleaved Generation (2026)
  Dian Zheng et al.
  14.38
• VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models (2026)
  Sen Xu et al.
  14.06
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories (2026)
  Baochang Ren et al.
  13.59
• STEP3-VL-10B Technical Report (2026)
  Ailin Huang et al.
  13.07
• Retrieval-Augmented Generation for Natural Language Processing: A Survey (2026)
  Shangyu Wu et al.
  12.85
• Representation Forcing for Bottleneck-Free Unified Multimodal Models (2026)
  Yuqing Wang et al.
  12.78
• Urban Socio-Semantic Segmentation with Vision-Language Reasoning (2026)
  Yu Wang et al.
  12.58
• Orchestra-o1: Omnimodal Agent Orchestration (2026)
  Fan Zhang et al.
  12.21
• Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models (2026)
  Yu Zeng et al.
  12.05
• Geometric Action Model for Robot Policy Learning (2026)
  Jisang Han et al.
  11.96
• FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios (2026)
  Xiangru Jian et al.
  11.70
• Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models (2026)
  Heecheol Yun et al.
  11.70
• 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.
  11.22
• Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning (2026)
  Lei Zhang et al.
  11.11
• Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation (2026)
  Jie Zhang et al.
  11.03
• SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning (2026)
  Haoyu Huang et al.
  10.74
• Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception (2026)
  Lai Wei et al.
  10.72
• NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generation (2026)
  Huichao Zhang et al.
  10.66
• FASTER: Rethinking Real-Time Flow VLAs (2026)
  Yuxiang Lu et al.
  10.64
• MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data (2026)
  Zongxia Li et al.
  10.41
• LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning (2025)
  Zhibin Lan et al.
  10.31
• BadWorld: Adversarial Attacks on World Models (2026)
  Linghui Shen et al.
  10.21
• InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing (2026)
  Changyao Tian et al.
  10.20
• Think3D: Thinking with Space for Spatial Reasoning (2026)
  Zaibin Zhang et al.
  10.09
• 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
  10.02
• Text-Vision Co-Instructed Image Editing (2026)
  Chenxi Xie et al.
  9.90
• VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents (2026)
  Zirui Wang et al.
  9.71
• SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL (2026)
  Lijun Liu et al.
  9.65
• GutenOCR: A Grounded Vision-Language Front-End for Documents (2026)
  Hunter Heidenreich et al.
  9.54
• On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models (2026)
  Chongyang Zhao et al.
  9.54
• Omnivec2 -- A Novel Transformer Based Network For Large Scale Multimodal And Multitask Learning (2025)
  Siddharth Srivastava, Gaurav Sharma
  9.46
• Efficient Multimodal Large Language Models: A Survey (2024)
  Yizhang Jin et al.
  9.43
• Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training (2026)
  Peng Sun et al.
  9.41
• UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer (2026)
  Shuai Wang et al.
  9.34
• Pushupbench: Your VLM Is Not Good At Counting Pushups (2026)
  Shengzhi Li, Jiarun Chen, Karun Sharma, et al.
  9.22
• RepWAM: World Action Modeling with Representation Visual-Action Tokenizers (2026)
  Junke Wang et al.
  9.19
• VINO: A Unified Visual Generator with Interleaved OmniModal Context (2026)
  Junyi Chen et al.
  9.10
• TACFN: Transformer-based Adaptive Cross-modal Fusion Network For Multimodal Emotion Recognition (2025)
  Feng Liu, Ziwang Fu, Yunlong Wang, et al.
  9.10
• X-SAM: From Segment Anything to Any Segmentation (2025)
  Hao Wang et al.
  9.02
• Multimodal Fake News Detection: MFND Dataset And Shallow-deep Multitask Learning (2025)
  Ye Zhu, Yunan Wang, Zitong Yu
  9.01
• DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies (2025)
  Wei Song et al.
  9.00
• OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent (2026)
  Bowen Yang et al.
  8.96
• Waveformer: Frequency-time Decoupled Vision Modeling With Wave Equation (2026)
  Zishan Shu, Juntong Wu, Wei Yan, et al.
  8.91
• RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space (2026)
  Xichen Pan et al.
  8.85
• OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding (2026)
  Sheng-Yu Huang et al.
  8.81
• A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5 (2026)
  Xingjun Ma et al.
  8.81
• Vision-language-action Models For Robotics: A Review Towards Real-world Applications (2025)
  Kento Kawaharazuka, Jihoon Oh, Jun Yamada, et al.
  8.65
• RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation (2026)
  Boyang Wang et al.
  8.64
• Adaptclip: Adapting CLIP For Universal Visual Anomaly Detection (2025)
  Bin-Bin Gao, Yue Zhou, Jiangtao Yan, et al.
  8.59
• Stateful Visual Encoders for Vision-Language Models (2026)
  Zirui Wang et al.
  8.57
• Information-theoretic Graph Fusion With Vision-language-action Model For Policy Reasoning And Dual Robotic Control (2025)
  Shunlei Li, Longsen Gao, Jin Wang, et al.
  8.55
• Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences (2026)
  Mingyang Li et al.
  8.49
• Open-Vocabulary Octree-Graph for 3D Scene Understanding (2024)
  Zhigang Wang et al.
  8.44
• Small Vision-Language Models are Smart Compressors for Long Video Understanding (2026)
  Junjie Fei et al.
  8.43
• Medgemma Technical Report (2025)
  Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, et al.
  8.35
• VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model (2026)
  Jingwen Sun et al.
  8.22
• Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)? (2026)
  Yue Zhang et al.
  8.18
• Towards Pixel-Level VLM Perception via Simple Points Prediction (2026)
  Tianhui Song et al.
  8.16
• ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model (2026)
  Haichao Zhang et al.
  8.16