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 5,190 篇，第 94 / 104 页
- NeurIPS 2026Omni-Interactive Universal Embedder
- NeurIPS 2026OmniGF: A Dual-Branch Vision-Language Framework for Unified Gaze Following
- NeurIPS 2026OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation
- NeurIPS 2026OmniSE: Support-Faithful Optimization for Evidence-Centric Audio-Video Reasoning
- NeurIPS 2026OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models
- NeurIPS 2026OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs
- NeurIPS 2026OmniToM: Benchmarking Theory of Mind in LLMs via Explicit Belief Modeling
- NeurIPS 2026OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning
- NeurIPS 2026On JEPA Isotropy
- NeurIPS 2026On the Nature of Attention Sink that Shapes Decoding Strategy in Omni-LLMs
- NeurIPS 2026On the Provable Emergence of Hierarchical Concept Structure in CLIP Embeddings
- NeurIPS 2026On the Relaxation of Conditional Independence Assumption for Image Segmentation
- NeurIPS 2026On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
- NeurIPS 2026One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
- NeurIPS 2026One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models
- NeurIPS 2026OneCanvas: 3D Scene Understanding via Panoramic Reprojection
- NeurIPS 2026OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence
- NeurIPS 2026Online Evaluation of LLMs via Dyadic Designs
- NeurIPS 2026Open Vocabulary Domain Unlearning
- NeurIPS 2026OpenMedReason: Scientific Reasoning Supervision for Medical Vision–Language Models
- NeurIPS 2026OpenView: Empowering MLLMs with Out-of-view VQA
- NeurIPS 2026OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
- NeurIPS 2026Operads for compositional reasoning in LLMs
- NeurIPS 2026OpticalRAG: Pixel-Space Compression for Token-Efficient Retrieval-Augmented Generation
- NeurIPS 2026Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
- NeurIPS 2026OrbitLoRA: Learning Rotation-Aware Low-Data Adaptation of Vision Foundation Models
- NeurIPS 2026Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection
- NeurIPS 2026Origami as a Real-Image Benchmark for Procedural State-Transition Reasoning
- NeurIPS 2026OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain
- NeurIPS 2026OT-Robust3DVLA: A Wasserstein Barycenter is the Right Inductive Bias for Robust Multi-View 3D Vision-Language-Action Policies
- NeurIPS 2026OTEdit: Entropic Transport Corrected Trajectory for Inversion-Free Flow-Based Image Editing
- NeurIPS 2026Overcoming Kernel Redundancy for Scaling Logic Gate Networks
- NeurIPS 2026OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
- NeurIPS 2026P-EAGLE: Parallel-Drafting EAGLE with Scalable Training
- NeurIPS 2026P$^3$-VLM: A Point-based Alternative for Grounded 3D Vision-Language Models
- NeurIPS 2026PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
- NeurIPS 2026PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
- NeurIPS 2026PACE: Progress Actively-internalized Conditioning Execution for Long-horizon Manipulation
- NeurIPS 2026PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control
- NeurIPS 2026PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes
- NeurIPS 2026Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs
- NeurIPS 2026Pan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing Robustness
- NeurIPS 2026PanoWorld: Towards Spatial Supersensing in 360◦ Panorama World
- NeurIPS 2026PaperLens: How Predictable Is Paper Acceptance?
- NeurIPS 2026PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models
- NeurIPS 2026Parameterized Stripe Attention for Efficient Video Generation
- NeurIPS 2026Parametric Meets Non-parametric: Bridging Dual Prediction Spaces for Semi-supervised Medical Image Segmentation
- NeurIPS 2026PARE: Pruning and Adaptive Routing for Efficient Video Generation
- NeurIPS 2026Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models
- NeurIPS 2026Patch Rebirth: Fast and Transferable Model Inversion of Vision Transformers
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。