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 108 / 225 页
- CVPR 2025De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation
- CVPR 2025Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
- CVPR 2025DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
- CVPR 2025DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
- CVPR 2025Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution
- CVPR 2025DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
- CVPR 2025DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
- CVPR 2025DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
- CVPR 2025Degradation-Aware Feature Perturbation for All-in-One Image Restoration
- CVPR 2025DEIM: DETR with Improved Matching for Fast Convergence
- CVPR 2025DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
- CVPR 2025DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
- CVPR 2025DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
- CVPR 2025Descriptor-In-Pixel : Point-Feature Tracking For Pixel Processor Arrays
- CVPR 2025Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
- CVPR 2025DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning
- CVPR 2025DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
- CVPR 2025DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
- CVPR 2025DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
- CVPR 2025DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
- CVPR 2025Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality
- CVPR 2025DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region
- CVPR 2025Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
- CVPR 2025Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
- CVPR 2025Distilling Monocular Foundation Model for Fine-grained Depth Completion
- CVPR 2025Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
- CVPR 2025Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation
- CVPR 2025DistinctAD: Distinctive Audio Description Generation in Contexts
- CVPR 2025Distraction is All You Need for Multimodal Large Language Model Jailbreaking
- CVPR 2025DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
- CVPR 2025DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
- CVPR 2025DL2G: Degradation-guided Local-to-Global Restoration for Eyeglass Reflection Removal
- CVPR 2025Do Computer Vision Foundation Models Learn the Low-level Characteristics of the Human Visual System?
- CVPR 2025Docopilot: Improving Multimodal Models for Document-Level Understanding
- CVPR 2025Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents
- CVPR 2025DocVLM: Make Your VLM an Efficient Reader
- CVPR 2025Domain Generalization in CLIP via Learning with Diverse Text Prompts
- CVPR 2025DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
- CVPR 2025DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
- CVPR 2025DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
- CVPR 2025DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation
- CVPR 2025DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
- CVPR 2025DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking
- CVPR 2025DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
- CVPR 2025DTOS: Dynamic Time Object Sensing with Large Multimodal Model
- CVPR 2025Dual Diffusion for Unified Image Generation and Understanding
- CVPR 2025Dual Exposure Stereo for Extended Dynamic Range 3D Imaging
- CVPR 2025Dual Semantic Guidance for Open Vocabulary Semantic Segmentation
- CVPR 2025Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening
- CVPR 2025DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition
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。