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 76 / 104 页
- ICML 2026Utonia: Toward One Encoder for All Point Clouds
- ICML 2026V-ABS: Action-Observer Driven Beam Search for Dynamic Visual Reasoning
- ICML 2026V-LynX: Token Interface Alignment for Video+X LLMs
- ICML 2026V1: Unifying Generation and Self-Verification for Parallel Reasoners
- ICML 2026Variational Adapter for Cross-modal Similarity Representation
- ICML 2026VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning
- ICML 2026VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
- ICML 2026VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
- ICML 2026VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models
- ICML 2026VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
- ICML 2026Very Efficient Listwise Multimodal Reranking for Long Documents
- ICML 2026VGGT-Motion: Motion-Aware Calibration-Free Monocular SLAM for Long-Range Consistency
- ICML 2026VIBE: Disentangling Social Dynamics via Kinematics-Informed Variational Inference for Behavioral Emotion
- ICML 2026Video-BCI: Bayesian Cognitive Integration of Self-Prior Hypotheses for Video Understanding
- ICML 2026Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning
- ICML 2026Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
- ICML 2026Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
- ICML 2026Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining
- ICML 2026VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding
- ICML 2026VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
- ICML 2026VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
- ICML 2026VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
- ICML 2026Vision Language Models Cannot Reason About Physical Transformation
- ICML 2026Vision Transformer Finetuning Benefits from Non-Smooth Components
- ICML 2026Vision-aligned Latent Reasoning for Multi-modal Large Language Model
- ICML 2026Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
- ICML 2026Vision-Language-Action Pretraining from Large-Scale Human Videos
- ICML 2026Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification
- ICML 2026VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning
- ICML 2026Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
- ICML 2026Visual Persuasion: What Influences Decisions of Vision-Language Models?
- ICML 2026VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
- ICML 2026VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
- ICML 2026VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
- ICML 2026VLANeXt: Recipes for Building Strong VLA Models
- ICML 2026VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model
- ICML 2026VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
- ICML 2026VlogReward: Learning Multi-Dimensional Evaluation for Vlog Editing
- ICML 2026Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction
- ICML 2026VR-Thinker: Boosting Multimodal Reward Models through Think with Image Reasoning
- ICML 2026VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning
- ICML 2026WatchLog: Efficient and Interpretable Event Reasoning for Endpoint Detection and Response Logs with Multimodal LLMs
- ICML 2026Weaving Graph over Tokens: Contextualizing Structured Sequences for LLMs
- ICML 2026Weight-Space Learning for Certifiable Few-shot Transfer Learning
- ICML 2026What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
- ICML 2026When Data Is Scarce: Scaling Sparse Language Models with Repeated Training
- ICML 2026When Does Sparsity Mitigate the Curse of Depth in LLMs
- ICML 2026When Is Rank-1 Enough? Geometry-Guided Initialization for Parameter-Efficient Fine-Tuning
- ICML 2026When LLMs Encounter Open-world Graph Learning: A Fresh View on Unlabeled Data Uncertainty
- ICML 2026When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs
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。