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 1,226 篇，第 13 / 25 页
- ICLR 2023NeRN: Learning Neural Representations for Neural Networks
- ICLR 2023Neural Bregman Divergences for Distance Learning
- ICLR 2023Neural Compositional Rule Learning for Knowledge Graph Reasoning
- ICLR 2023Neural Optimal Transport
- ICLR 2023Open-Vocabulary Object Detection upon Frozen Vision and Language Models
- ICLR 2023PaLI: A Jointly-Scaled Multilingual Language-Image Model
- ICLR 2023Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
- ICLR 2023PatchDCT: Patch Refinement for High Quality Instance Segmentation
- ICLR 2023PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
- ICLR 2023Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
- ICLR 2023Relational Attention: Generalizing Transformers for Graph-Structured Tasks
- ICLR 2023REPAIR: REnormalizing Permuted Activations for Interpolation Repair
- ICLR 2023Reversible Column Networks
- ICLR 2023RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
- ICLR 2023ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
- ICLR 2023Scaling Laws For Deep Learning Based Image Reconstruction
- ICLR 2023Schema Inference for Interpretable Image Classification
- ICLR 2023Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
- ICLR 2023Selective Frequency Network for Image Restoration
- ICLR 2023SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
- ICLR 2023Sequential Learning of Neural Networks for Prequential MDL
- ICLR 2023Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
- ICLR 2023Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
- ICLR 2023StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
- ICLR 2023Temporal Coherent Test Time Optimization for Robust Video Classification
- ICLR 2023That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
- ICLR 2023The Lie Derivative for Measuring Learned Equivariance
- ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
- ICLR 2023This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
- ICLR 2023TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
- ICLR 2023Understanding Zero-shot Adversarial Robustness for Large-Scale Models
- ICLR 2023Unicom: Universal and Compact Representation Learning for Image Retrieval
- ICLR 2023Unified Discrete Diffusion for Simultaneous Vision-Language Generation
- ICLR 2023UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
- ICLR 2023Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
- ICLR 2023Using Language to Extend to Unseen Domains
- ICLR 2023Valid P-Value for Deep Learning-driven Salient Region
- ICLR 2023Verifying the Union of Manifolds Hypothesis for Image Data
- ICLR 2023ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
- ICLR 2023Vision Transformer Adapter for Dense Predictions
- ICLR 2023Visual Classification via Description from Large Language Models
- ICLR 2023Visual Recognition with Deep Nearest Centroids
- ICLR 2023Visually-Augmented Language Modeling
- ICLR 2023VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
- ICLR 2023What Do Self-Supervised Vision Transformers Learn?
- ICLR 2023When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
- ICLR 2023Write and Paint: Generative Vision-Language Models are Unified Modal Learners
- ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
- ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
- ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
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。