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 5,190 篇，第 67 / 104 页
- ICML 2026MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models
- ICML 2026Meerkat-VL: Implicit Risk Safety Alignment in Multimodal LLMs via Perceptual Reasoning and Self-Verification
- ICML 2026MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
- ICML 2026Memory Savings at What Cost? A Study of Alternatives to Backpropagation
- ICML 2026MentisOculi: Revealing the Limits of Reasoning with Mental Imagery
- ICML 2026MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
- ICML 2026MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
- ICML 2026MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Metadynamics
- ICML 2026MetaPerch: Learning from metadata for bioacoustics foundation models
- ICML 2026MetaStreet: Semi-Supervised Multimodal Learning for Street-Level Socioeconomic Prediction
- ICML 2026MFH-NAS:A Hybrid Neural Architecture Search Framework for Multimodal Fusion Object Detection
- ICML 2026Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
- ICML 2026MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
- ICML 2026MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models
- ICML 2026Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching
- ICML 2026MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
- ICML 2026Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
- ICML 2026Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating
- ICML 2026Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
- ICML 2026Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
- ICML 2026Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
- ICML 2026Mitigating the Modality Gap in Vision–Language Models with Fractal Spectral Geometry
- ICML 2026Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
- ICML 2026MiVE: Multiscale Vision-language features for reference-guided video Editing
- ICML 2026Mixing Expertise with Confidence: A Mixture of Experts Framework for Robust Multi-Modal Continual Learning
- ICML 2026Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers
- ICML 2026MLLM-4D: Towards Visual-based Spatial-Temporal Intelligence
- ICML 2026MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
- ICML 2026MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework
- ICML 2026MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models
- ICML 2026MMClima: A Framework for Multimodal Climate Science Data and Evaluation
- ICML 2026MME-Reasoning: A Broad-Spectrum Benchmark for Evaluating Logical Reasoning in MLLMs
- ICML 2026MobileFusion: Mobile-Friendly Infrared and Visible Image Fusion via Structural Re-parameterization
- ICML 2026MOD-SR: Unifying Multimodal Learning and Direct Optimization with Gradient-Guided Diffusion Model for Symbolic Regression
- ICML 2026MoDA: Modulation Adapter for Fine-Grained Visual Understanding in Instructional MLLMs
- ICML 2026Modality-Decoupled Online Recursive Editing
- ICML 2026Model-Dowser: Data-Free Importance Probing to Mitigate Catastrophic Forgetting in Multimodal Large Language Models
- ICML 2026Model-Preserving Adaptive Rounding
- ICML 2026ModernVBERT: Towards Smaller Visual Document Retrievers
- ICML 2026MoLoRA: Composable Specialization via Per-Token Adapter Routing
- ICML 2026MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
- ICML 2026MORE: A Multilingual Document Parsing Benchmark and Evaluation
- ICML 2026Mosaic: Unlocking Over 30$\times$ Context Length for Diffusion LLMs Inference via Global Memory Planning and Dynamic Peak Taming
- ICML 2026MotiMotion: Motion-Controlled Video Generation with Visual Reasoning
- ICML 2026Motion Dynamics Learning for Few-Shot Embodied Adaptation
- ICML 2026Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation
- ICML 2026MoVie: Multimodal Video Compression with Text Guidance
- ICML 2026MuLoCo: Muon is a Practical Inner Optimizer for DiLoCo
- ICML 2026Multi-Label Test-Time Adaptation with Bayesian Conditional Priors
- ICML 2026MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning
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。