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 77 / 225 页
- ICML 2026When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
- ICML 2026When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
- ICML 2026Why Are Linear RNNs More Parallelizable?
- ICML 2026Why Tree-Style Branching Matters for Thought Advantage Estimation in GRPO
- ICML 2026Width Independent Bounds for the Local Lipschitz Constant of Deep Neural Networks at Random Initialization and after Lazy Training
- ICML 2026WinDeskGround: A Benchmark for Robust GUI Grounding in Complex Multi-Window Desktop Environments
- ICML 2026WISE: World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
- ICML 2026WMVLM: Evaluating Diffusion Model Image Watermarking via Vision-Language Models
- ICML 2026World Guidance: World Modeling in Condition Space for Action Generation
- ICML 2026World-Model Inspired Emotion-aware Token Refinement for Training-Free Multimodal Emotion Recognition
- ICML 2026World-R1: Reinforcing 3D Constraints for Text-to-Video Generation
- ICML 2026WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraints
- ICML 2026WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
- ICML 2026XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
- ICML 2026XPERT: Expert Knowledge Transfer for Effective Training of Language Models
- ICML 2026XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
- ICML 2026XSkill: Continual Learning from Experience and Skills in Multimodal Agents
- ICML 2026Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation
- ICML 2026Zero-shot Active Mapping via Fused 360-BEV Representations and Vision–Language Models
- ICML 2026Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
- ICML 2026Zero-Shot Text-to-Motion Evaluation using Video Language Models
- ICML 2026ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
- ICML 2026Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
- ICML 2026Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
- NeurIPS 2026$\alpha$Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion
- NeurIPS 2026$\text{A}^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
- NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
- NeurIPS 2026$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement
- NeurIPS 20262D Spatial Reasoning with Adaptive Neural Cellular Automata
- NeurIPS 20263A-VLA: Abstraction-Aligned Action Learning for Vision-Language Agents in 3D Game Worlds
- NeurIPS 20263D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models
- NeurIPS 20263DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
- NeurIPS 20263DSPA: A 3D Semantic Point Autoencoder for Evaluating Video Realism
- NeurIPS 2026A Benchmark for Omni-Modal Reasoning in Long Videos
- NeurIPS 2026A Bitter Lesson for Data Filtering
- NeurIPS 2026A Closer Look at Dynamic Scene Graph Generation in the Era of Multimodal Large Language Models
- NeurIPS 2026A Composite Activation Function for Learning Stable Binary Representations
- NeurIPS 2026A Deep Learning Framework for Scalar-on-Function Models
- NeurIPS 2026A Diagnostic Benchmark for Layered Layout and Template-Variant Reasoning
- NeurIPS 2026A Dynamic Decomposition Strategy for the MOEA/D With Proven Performance Guarantees
- NeurIPS 2026A Favorable Regime Between ODE and SDE for Few-Step Diffusion Sampling
- NeurIPS 2026A Foundational Model System for Datacenter Machine Repairs
- NeurIPS 2026A General Concept-based Decomposition for Vision–Language Embeddings
- NeurIPS 2026A Graph Foundation Model for Unified Clustering
- NeurIPS 2026A Latent World-Action Model with Jointly Aligned Reasoning
- NeurIPS 2026A Mechanistic Analysis of Looped Reasoning Language Models
- NeurIPS 2026A Mechanistic Interpretability Study of an Astronomical Foundation Model
- NeurIPS 2026A Method-Class Divide in Sub-4-Bit Quantization:\\Iterative vs.\ Single-Pass Sensitivity to Data Composition
- NeurIPS 2026A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data
- NeurIPS 2026A Principled Optimal Transport Framework for Frame Selection in Long Video Understanding
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。