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 197 / 225 页
- NeurIPS 2024Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
- NeurIPS 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
- NeurIPS 2024MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
- NeurIPS 2024NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
- NeurIPS 2024Needle In A Multimodal Haystack
- NeurIPS 2024Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
- NeurIPS 2024No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
- NeurIPS 2024No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
- NeurIPS 2024NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
- NeurIPS 2024Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
- NeurIPS 2024NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
- NeurIPS 2024Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
- NeurIPS 2024OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
- NeurIPS 2024OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
- NeurIPS 2024OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
- NeurIPS 2024One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
- NeurIPS 2024One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
- NeurIPS 2024OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
- NeurIPS 2024Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
- NeurIPS 2024Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
- NeurIPS 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- NeurIPS 2024Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
- NeurIPS 2024PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
- NeurIPS 2024Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
- NeurIPS 2024Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
- NeurIPS 2024PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
- NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
- NeurIPS 2024PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
- NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
- NeurIPS 2024Prejudice and Volatility: A Statistical Framework for Measuring Social Discrimination in Large Language Models
- NeurIPS 2024Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
- NeurIPS 2024Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
- NeurIPS 2024Private Attribute Inference from Images with Vision-Language Models
- NeurIPS 2024Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
- NeurIPS 2024PromptFix: You Prompt and We Fix the Photo
- NeurIPS 2024Propensity Score Alignment of Unpaired Multimodal Data
- NeurIPS 2024Prune and Repaint: Content-Aware Image Retargeting for any Ratio
- NeurIPS 2024Q-VLM: Post-training Quantization for Large Vision-Language Models
- NeurIPS 2024QBB: Quantization with Binary Bases for LLMs
- NeurIPS 2024QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
- NeurIPS 2024RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
- NeurIPS 2024Recognize Any Regions
- NeurIPS 2024Referring Human Pose and Mask Estimation In the Wild
- NeurIPS 2024Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
- NeurIPS 2024ReMI: A Dataset for Reasoning with Multiple Images
- NeurIPS 2024Renovating Names in Open-Vocabulary Segmentation Benchmarks
- NeurIPS 2024RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
- NeurIPS 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
- NeurIPS 2024Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
- NeurIPS 2024Revisiting Few-Shot Object Detection with Vision-Language Models
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。