多模态大模型论文趋势 2023–2026
视觉语言模型、图像/视频理解与生成式多模态基础模型
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 11,209 篇被归入该主题的论文。
主要结论
- 多模态大模型论文从 2023 年的 1,226 篇增长到 2026 年的 5,192 篇，三年间扩大到约 4.2 倍。
- NeurIPS 是发多模态大模型论文最多的会议，2023–2026 年共 3,319 篇，占四个会议总量的 30%。
- 交叉方向里涨得最快的是应用 · computer vision：同时属于两个主题的论文从 2023 年的 35 篇增至 2026 年的 596 篇。
- 在「前沿系统」的 4 个主题里，它的 2026 年论文数排第 1；同组增长最快的AI 智能体是 12 倍，多模态大模型是 4.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 433 | 138 | 146 | 509 | 1,226 |
| 2024 | 446 | 321 | 323 | 626 | 1,716 |
| 2025 | 1,074 | 816 | 390 | 795 | 3,075 |
| 2026 | 1,366 | 1,401 | 1,051 | 1,374 | 5,192 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026$\text{A}^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
- ICML 2026[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
- ICLR 2026A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
- CVPR 20263D Space as a Scratchpad for Editable Text-to-Image Generation
- NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
- ICML 2025Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
- ICLR 2025$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
- CVPR 20252DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
- NeurIPS 2024A Concept-Based Explainability Framework for Large Multimodal Models
- ICML 2024A Multimodal Automated Interpretability Agent
- ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
- CVPR 2024Data-Efficient Multimodal Fusion on a Single GPU
- NeurIPS 20234M: Massively Multimodal Masked Modeling
- ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
- ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
- CVPR 20233D Concept Learning and Reasoning From Multi-View Images
- NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
- ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
- ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
- CVPR 20263D-IDE 3D Implicit Depth Emergent
全部多模态大模型论文
共 11,207 篇，第 120 / 225 页
- CVPR 2025VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
- CVPR 2025VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing
- CVPR 2025VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
- CVPR 2025VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
- CVPR 2025VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
- CVPR 2025Vision-Language Embodiment for Monocular Depth Estimation
- CVPR 2025Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
- CVPR 2025Vision-Language Model IP Protection via Prompt-based Learning
- CVPR 2025Vision-Language Models Do Not Understand Negation
- CVPR 2025VisionArena: 230k Real World User-VLM Conversations with Preference Labels
- CVPR 2025VisionZip: Longer is Better but Not Necessary in Vision Language Models
- CVPR 2025VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- CVPR 2025Visual Lexicon: Rich Image Features in Language Space
- CVPR 2025Visual Persona: Foundation Model for Full-Body Human Customization
- CVPR 2025Visual Representation Learning through Causal Intervention for Controllable Image Editing
- CVPR 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
- CVPR 2025VITED: Video Temporal Evidence Distillation
- CVPR 2025VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
- CVPR 2025VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
- CVPR 2025VladVA: Discriminative Fine-tuning of LVLMs
- CVPR 2025VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models
- CVPR 2025VoCo-LLaMA: Towards Vision Compression with Large Language Models
- CVPR 2025VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and Beyond
- CVPR 2025Watermarking One for All: A Robust Watermarking Scheme Against Partial Image Theft
- CVPR 2025Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
- CVPR 2025WeGen: A Unified Model for Interactive Multimodal Generation as We Chat
- CVPR 2025What's in the Image? A Deep-Dive into the Vision of Vision Language Models
- CVPR 2025When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
- CVPR 2025WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
- CVPR 2025Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
- CVPR 2025XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
- CVPR 2025Yo'Chameleon: Personalized Vision and Language Generation
- CVPR 2025Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
- CVPR 2025Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
- CVPR 2025Zero-Shot 4D Lidar Panoptic Segmentation
- ICLR 2025(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
- ICLR 2025$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
- ICLR 2025$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
- ICLR 2025$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
- ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
- ICLR 2025$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
- ICLR 20253D Vision-Language Gaussian Splatting
- ICLR 20253D-Properties: Identifying Challenges in DPO and Charting a Path Forward
- ICLR 20253D-SPATIAL MULTIMODAL MEMORY
- ICLR 20256D Object Pose Tracking in Internet Videos for Robotic Manipulation
- ICLR 2025A Benchmark for Semantic Sensitive Information in LLMs Outputs
- ICLR 2025A CLIP-Powered Framework for Robust and Generalizable Data Selection
- ICLR 2025A Closer Look at Machine Unlearning for Large Language Models
- ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
- ICLR 2025A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查多模态大模型在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "multimodal-llms"}
常见问题
- 2023–2026 年四大会议一共有多少篇多模态大模型论文？
- 共 11,209 篇，按年份分别是 2023 年 1,226 篇、2024 年 1,716 篇、2025 年 3,075 篇、2026 年 5,192 篇。
- NeurIPS 2026 有多少篇多模态大模型论文？
- NeurIPS 2026 有 1,366 篇多模态大模型论文，上一届是 1,074 篇。
- ICLR 2026 有多少篇多模态大模型论文？
- ICLR 2026 有 1,401 篇多模态大模型论文，上一届是 816 篇。
- ICML 2026 有多少篇多模态大模型论文？
- ICML 2026 有 1,051 篇多模态大模型论文，上一届是 390 篇。
- CVPR 2026 有多少篇多模态大模型论文？
- CVPR 2026 有 1,374 篇多模态大模型论文，上一届是 795 篇。
- 哪个会议的多模态大模型论文最多？
- NeurIPS，2023–2026 年共 3,319 篇。