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 68 / 225 页
- ICML 2026Multimodal Fact-Level Attribution for Verifiable Reasoning
- ICML 2026Multimodal Function Vectors for Visual Relations
- ICML 2026Multimodal Fusion via Self-Consistent Task-Gradient Fields
- ICML 2026Multimodal Latent Language Modeling with Next-Token Diffusion
- ICML 2026Multimodal Nested Learning for Decoupled and Coordinated Optimization
- ICML 2026Multimodal Scaling Laws for Task & Data-Optimized Models of Visual Cortex
- ICML 2026MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models
- ICML 2026MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
- ICML 2026MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction
- ICML 2026Native Active Perception as Reasoning for Omni-Modal Understanding
- ICML 2026NAVIGATE: Evaluating Visual-Guided Search Decision-Making on the Open Web
- ICML 2026Navigating the Pareto Frontier of Alignment: Spectrum-Adaptive Fine-Tuning for LLMs
- ICML 2026NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs
- ICML 2026Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
- ICML 2026Neuro-Fuzzy Concept Learning for Interpretable Large Multimodal Models
- ICML 2026NeuroCLUS: A Foundation Model with Functional Clustering for Intracranial Neural Decoding
- ICML 2026Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs
- ICML 2026NeurVLA: Unleashing Failure-Handling Capability of Vision-Language-Action Models via Neural-Symbolic Reasoning
- ICML 2026Neutral-Reference Prompting for Vision–Language Models
- ICML 2026No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
- ICML 2026Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention
- ICML 2026Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
- ICML 2026Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
- ICML 2026ObjEmbed: Towards Universal Multimodal Object Embeddings
- ICML 2026Olmix: A Framework for Data Mixing Throughout LM Development
- ICML 2026Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
- ICML 2026Omni-Perception Policy Optimization for Multimodal Emotion Reasoning
- ICML 2026OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild
- ICML 2026OmniFit: Bridging Modalities via Layer-Adaptive Token Compression for Omnimodal Large Language Models
- ICML 2026OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
- ICML 2026OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation
- ICML 2026OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
- ICML 2026OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
- ICML 2026On Minimum Depth and Width of Floating-Point Neural Networks for Representing Floating-Point Functions
- ICML 2026On Path to Multimodal Historical Reasoning: HistBench and HistAgent
- ICML 2026On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
- ICML 2026On the Difficulty of Learning a Meta-network for Training Data Selection
- ICML 2026On the Generalization Gap in Self-Evolving Language Model Reasoning
- ICML 2026On the Intrinsic Limits of Transformer Image Embeddings in Non-Solvable Spatial Reasoning
- ICML 2026On the Plasticity and Stability for Post-Training Large Language Models
- ICML 2026One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models
- ICML 2026One Bug, Hundreds Behind: LLMs for Large-Scale Bug Discovery
- ICML 2026One LR Doesn’t Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
- ICML 2026One-shot Entropy Minimization for Language Model Reasoning
- ICML 2026Op-CAD: Benchmarking and Investigating Operation-oriented CAD Generation
- ICML 2026Open-World LLM Logical Reasoning
- ICML 2026OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft
- ICML 2026OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph
- ICML 2026OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
- ICML 2026Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
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。