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 185 / 225 页
- ICLR 2024Vision-Language Foundation Models as Effective Robot Imitators
- ICLR 2024Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
- ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
- ICLR 2024Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
- ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
- ICLR 2024What's in a Prior? Learned Proximal Networks for Inverse Problems
- ICLR 2024When Semantic Segmentation Meets Frequency Aliasing
- ICLR 2024Win-Win: Training High-Resolution Vision Transformers from Two Windows
- ICLR 2024Window Attention is Bugged: How not to Interpolate Position Embeddings
- ICLR 2024WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
- ICLR 2024Xformer: Hybrid X-Shaped Transformer for Image Denoising
- ICLR 2024ZipIt! Merging Models from Different Tasks without Training
- ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
- ICML 2024A Multimodal Automated Interpretability Agent
- ICML 2024A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
- ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
- ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
- ICML 2024A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
- ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
- ICML 2024A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
- ICML 2024Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
- ICML 2024Active Label Correction for Semantic Segmentation with Foundation Models
- ICML 2024Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
- ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
- ICML 2024Adaptively Perturbed Mirror Descent for Learning in Games
- ICML 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
- ICML 2024ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
- ICML 2024Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
- ICML 2024Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
- ICML 2024An Embodied Generalist Agent in 3D World
- ICML 2024An Empirical Study Into What Matters for Calibrating Vision-Language Models
- ICML 2024An LLM Compiler for Parallel Function Calling
- ICML 2024Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
- ICML 2024Analyzing $D^\alpha$ seeding for $k$-means
- ICML 2024AND: Audio Network Dissection for Interpreting Deep Acoustic Models
- ICML 2024Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
- ICML 2024Arrows of Time for Large Language Models
- ICML 2024ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
- ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
- ICML 2024AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
- ICML 2024Auto-Encoding Morph-Tokens for Multimodal LLM
- ICML 2024Autoformalizing Euclidean Geometry
- ICML 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
- ICML 2024Balancing Similarity and Complementarity for Federated Learning
- ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
- ICML 2024BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
- ICML 2024Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
- ICML 2024Best Arm Identification for Stochastic Rising Bandits
- ICML 2024Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
- ICML 2024BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
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。