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 1,366 篇，第 25 / 28 页
- NeurIPS 2026Tool-IQA: Augmenting Image Quality Assessment with Simple Tools
- NeurIPS 2026TopoCurve: Geometry-Aware Topology Reasoning via Bézier Curves in Autonomous Driving
- NeurIPS 2026TopoGraphRAG-Bench: Evaluating Multimodal GraphRAG on Layout-Grounded Evidence Reasoning
- NeurIPS 2026Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
- NeurIPS 2026Topology-Reinforced Swin Transformer for Medical Image Analysis
- NeurIPS 2026TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training
- NeurIPS 2026Toward Cognitive Supersensing in Multimodal Large Language Models
- NeurIPS 2026Toward in Silico Strain Evaluation: A Multimodal Surrogate for Fermentation Dynamics with Metabolic Graph Pretraining
- NeurIPS 2026Toward Multimodal Sheet Music Recognition and Understanding
- NeurIPS 2026Toward Semantically-Consistent Tuning-Free Customization for Rectified Flow Transformers
- NeurIPS 2026Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
- NeurIPS 2026Towards Multi-Human-Value Alignment via Value Localization in LLMs
- NeurIPS 2026Towards Reconstructing Geographically Diverse Architecture with 3D Foundation Models
- NeurIPS 2026Towards Reliable VLM Judges: State-Conditional Invariance and Presentation-Aware Diagnostics
- NeurIPS 2026Towards Scalable Egocentric HOI for Humanoids: Benchmarking Whole-Body Dexterous Interaction with Tactile Prediction
- NeurIPS 2026TPRL: Adaptive Visual Token Pruning in LVLMs via Language-Guided Reinforcement Learning
- NeurIPS 2026TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs
- NeurIPS 2026TRACE: Trajectory-Aware Conceps for Explainable Video Understanding
- NeurIPS 2026Tracing Psychometric Inference in Large Language Models
- NeurIPS 2026Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
- NeurIPS 2026Training Vision Transformers to Focus: Emergence of Attention Head Specialization
- NeurIPS 2026Training with Harnesses: On-Policy Harness Self-Distillation for Complex Reasoning
- NeurIPS 2026Training-Free Dynamic Upcycling of Expert Language Models
- NeurIPS 2026Training-Free Open World Object Detection
- NeurIPS 2026Trajectory-Consistent Dropout for Uncertainty Decomposition in Hamiltonian Neural Networks
- NeurIPS 2026TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control
- NeurIPS 2026Transfer Entropy as a Measure of Information Flow in VLMs and LLMs
- NeurIPS 2026Transferring Visual Explainability from Self-Explaining to Prediction-Only Vision Transformers via Task Arithmetic
- NeurIPS 2026TreemapMix: Dirichlet-Controlled Multi-Image Augmentation for Probability and Ordinal Supervision
- NeurIPS 2026TRIAD: Benchmarking Omni-Modal Ambiguity in Multimodal Large Language Models
- NeurIPS 2026Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA
- NeurIPS 2026TrioPose: Native Triple-Stream Diffusion Transformers for Pose-Guided Text-to-Image Generation
- NeurIPS 2026TriTD: Tri-Partite Trajectory–Distribution Distillation for Real-Time Autoregressive Video Generation
- NeurIPS 2026TrustMod-SM: A Multi-Axis Benchmark for Evaluating Trustworthiness of LLMs in Social Media Content Moderation
- NeurIPS 2026TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning
- NeurIPS 2026TSFM Meets LLM: Context as Covariate
- NeurIPS 2026TTVidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
- NeurIPS 2026Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
- NeurIPS 2026TwinPrune: Density-Aware Two-Phase Token Pruning for Vision-Language Models
- NeurIPS 2026Two Drifts, One Principle: Conflict-Aware Spectral Consolidation for Multimodal Continual Learning
- NeurIPS 2026UGGRH: Unsupervised Generative Completion and Graph-attention Refinement for Incomplete Cross-modal Hashing
- NeurIPS 2026Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
- NeurIPS 2026Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
- NeurIPS 2026Uncertainty Quantification of Least Squares Estimator for Generalized Orthogonal Procrustes Problems
- NeurIPS 2026Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models
- NeurIPS 2026Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
- NeurIPS 2026Understanding the Challenges in Iterative Generative Optimization with LLMs
- NeurIPS 2026UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image
- NeurIPS 2026Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning
- NeurIPS 2026UNICOM: Unified Multimodal Modeling via Compressed Continuous Semantic Representations
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。