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 390 篇，第 8 / 8 页
- ICML 2025Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
- ICML 2025Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
- ICML 2025TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
- ICML 2025TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
- ICML 2025TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
- ICML 2025UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
- ICML 2025UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
- ICML 2025Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
- ICML 2025Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
- ICML 2025Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
- ICML 2025Understanding the Emergence of Multimodal Representation Alignment
- ICML 2025Unifying 2D and 3D Vision-Language Understanding
- ICML 2025Unifying Specialized Visual Encoders for Video Language Models
- ICML 2025Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
- ICML 2025Unlocking the Power of SAM 2 for Few-Shot Segmentation
- ICML 2025Unnatural Languages Are Not Bugs but Features for LLMs
- ICML 2025UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
- ICML 2025VIP: Vision Instructed Pre-training for Robotic Manipulation
- ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
- ICML 2025Vision-Language Models Create Cross-Modal Task Representations
- ICML 2025Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval
- ICML 2025Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning
- ICML 2025Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
- ICML 2025Visual Autoregressive Modeling for Image Super-Resolution
- ICML 2025Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
- ICML 2025Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
- ICML 2025What can large language models do for sustainable food?
- ICML 2025What If We Recaption Billions of Web Images with LLaMA-3?
- ICML 2025What Makes In-context Learning Effective for Mathematical Reasoning
- ICML 2025When and How Does CLIP Enable Domain and Compositional Generalization?
- ICML 2025When Do LLMs Help With Node Classification? A Comprehensive Analysis
- ICML 2025When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
- ICML 2025Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
- ICML 2025WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
- ICML 2025WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
- ICML 2025Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
- ICML 2025WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
- ICML 2025X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
- ICML 2025xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
- ICML 2025ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
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。