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 3,319 篇，第 32 / 67 页
- NeurIPS 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
- NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
- NeurIPS 2025Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
- NeurIPS 2025CrypticBio: A Large Multimodal Dataset for Visually Confusing Species
- NeurIPS 2025Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
- NeurIPS 2025CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
- NeurIPS 2025CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
- NeurIPS 2025CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
- NeurIPS 2025DAMamba: Vision State Space Model with Dynamic Adaptive Scan
- NeurIPS 2025Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
- NeurIPS 2025Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
- NeurIPS 2025Data-Dependent Regret Bounds for Constrained MABs
- NeurIPS 2025Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
- NeurIPS 2025Dataset Distillation for Pre-Trained Self-Supervised Vision Models
- NeurIPS 2025DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
- NeurIPS 2025Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models
- NeurIPS 2025Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
- NeurIPS 2025Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
- NeurIPS 2025Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
- NeurIPS 2025DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
- NeurIPS 2025Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
- NeurIPS 2025DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
- NeurIPS 2025Depth-Bounds for Neural Networks via the Braid Arrangement
- NeurIPS 2025Depth-Supervised Fusion Network for Seamless-Free Image Stitching
- NeurIPS 2025DERD-Net: Learning Depth from Event-based Ray Densities
- NeurIPS 2025DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
- NeurIPS 2025DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
- NeurIPS 2025DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
- NeurIPS 2025Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
- NeurIPS 2025Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis
- NeurIPS 2025Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
- NeurIPS 2025DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
- NeurIPS 2025DISCO: Disentangled Communication Steering for Large Language Models
- NeurIPS 2025Discovering Compositional Hallucinations in LVLMs
- NeurIPS 2025Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations
- NeurIPS 2025Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation
- NeurIPS 2025Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
- NeurIPS 2025Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
- NeurIPS 2025Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
- NeurIPS 2025Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation
- NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
- NeurIPS 2025DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection
- NeurIPS 2025DOTA: Distributional Test-time Adaptation of Vision-Language Models
- NeurIPS 2025Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
- NeurIPS 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
- NeurIPS 2025DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning
- NeurIPS 2025DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
- NeurIPS 2025DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
- NeurIPS 2025Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
- NeurIPS 2025DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in 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。