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 321 篇，第 4 / 7 页
- ICLR 2024Large Language Models as Automated Aligners for benchmarking Vision-Language Models
- ICLR 2024Large Language Models as Tool Makers
- ICLR 2024Large Language Models Cannot Self-Correct Reasoning Yet
- ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
- ICLR 2024Learning Hierarchical Image Segmentation For Recognition and By Recognition
- ICLR 2024Learning Interactive Real-World Simulators
- ICLR 2024Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
- ICLR 2024Let's Verify Step by Step
- ICLR 2024Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
- ICLR 2024Lie Group Decompositions for Equivariant Neural Networks
- ICLR 2024Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
- ICLR 2024Listen, Think, and Understand
- ICLR 2024LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
- ICLR 2024LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
- ICLR 2024Llemma: An Open Language Model for Mathematics
- ICLR 2024LLM Augmented LLMs: Expanding Capabilities through Composition
- ICLR 2024LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
- ICLR 2024LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
- ICLR 2024Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
- ICLR 2024LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
- ICLR 2024Making LLaMA SEE and Draw with SEED Tokenizer
- ICLR 2024Massive Editing for Large Language Models via Meta Learning
- ICLR 2024Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
- ICLR 2024Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
- ICLR 2024MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
- ICLR 2024MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
- ICLR 2024MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
- ICLR 2024Measuring Vision-Language STEM Skills of Neural Models
- ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
- ICLR 2024MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
- ICLR 2024MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
- ICLR 2024MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
- ICLR 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
- ICLR 2024Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
- ICLR 2024Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
- ICLR 2024MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
- ICLR 2024Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
- ICLR 2024ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
- ICLR 2024MOFI: Learning Image Representations from Noisy Entity Annotated Images
- ICLR 2024MogaNet: Multi-order Gated Aggregation Network
- ICLR 2024MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
- ICLR 2024Multi-granularity Correspondence Learning from Long-term Noisy Videos
- ICLR 2024Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
- ICLR 2024Multimodal Molecular Pretraining via Modality Blending
- ICLR 2024Multimodal Patient Representation Learning with Missing Modalities and Labels
- ICLR 2024Multimodal Web Navigation with Instruction-Finetuned Foundation Models
- ICLR 2024Negative Label Guided OOD Detection with Pretrained Vision-Language Models
- ICLR 2024Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
- ICLR 2024Neural Polynomial Gabor Fields for Macro Motion Analysis
- ICLR 2024Neural Rate Control for Learned Video Compression
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。