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 202 / 225 页
- CVPR 2023Burstormer: Burst Image Restoration and Enhancement Transformer
- CVPR 2023CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input
- CVPR 2023Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?
- CVPR 2023Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
- CVPR 2023Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
- CVPR 2023Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction
- CVPR 2023CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
- CVPR 2023Change-Aware Sampling and Contrastive Learning for Satellite Images
- CVPR 2023CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
- CVPR 2023CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose
- CVPR 2023Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
- CVPR 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
- CVPR 2023CLIP the Gap: A Single Domain Generalization Approach for Object Detection
- CVPR 2023CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
- CVPR 2023CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data
- CVPR 2023CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval
- CVPR 2023CLIPPO: Image-and-Language Understanding From Pixels Only
- CVPR 2023CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
- CVPR 2023Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding
- CVPR 2023Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting
- CVPR 2023CompletionFormer: Depth Completion With Convolutions and Vision Transformers
- CVPR 2023Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression
- CVPR 2023Comprehensive and Delicate: An Efficient Transformer for Image Restoration
- CVPR 2023Connecting Vision and Language With Video Localized Narratives
- CVPR 2023ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
- CVPR 2023Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers
- CVPR 2023Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training
- CVPR 2023Context-Aware Pretraining for Efficient Blind Image Decomposition
- CVPR 2023Context-Based Trit-Plane Coding for Progressive Image Compression
- CVPR 2023Contrastive Grouping With Transformer for Referring Image Segmentation
- CVPR 2023Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
- CVPR 2023Controllable Light Diffusion for Portraits
- CVPR 2023CoralStyleCLIP: Co-Optimized Region and Layer Selection for Image Editing
- CVPR 2023Correlational Image Modeling for Self-Supervised Visual Pre-Training
- CVPR 2023CRAFT: Concept Recursive Activation FacTorization for Explainability
- CVPR 2023CREPE: Can Vision-Language Foundation Models Reason Compositionally?
- CVPR 2023Critical Learning Periods for Multisensory Integration in Deep Networks
- CVPR 2023Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning
- CVPR 2023Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
- CVPR 2023Crossing the Gap: Domain Generalization for Image Captioning
- CVPR 2023Crowd3D: Towards Hundreds of People Reconstruction From a Single Image
- CVPR 2023CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
- CVPR 2023Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing
- CVPR 2023DeAR: Debiasing Vision-Language Models With Additive Residuals
- CVPR 2023DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking
- CVPR 2023Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction
- CVPR 2023Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection
- CVPR 2023Decoupled Multimodal Distilling for Emotion Recognition
- CVPR 2023Decoupling-and-Aggregating for Image Exposure Correction
- CVPR 2023Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit
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。