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 61 / 67 页
- NeurIPS 2023Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
- NeurIPS 2023Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
- NeurIPS 2023Egocentric Planning for Scalable Embodied Task Achievement
- NeurIPS 2023EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
- NeurIPS 2023EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
- NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
- NeurIPS 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
- NeurIPS 2023Emergent and Predictable Memorization in Large Language Models
- NeurIPS 2023Emergent Communication for Rules Reasoning
- NeurIPS 2023Energy Guided Diffusion for Generating Neurally Exciting Images
- NeurIPS 2023Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
- NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
- NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
- NeurIPS 2023Evaluating and Inducing Personality in Pre-trained Language Models
- NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
- NeurIPS 2023Evaluating Open-QA Evaluation
- NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
- NeurIPS 2023EvoPrompting: Language Models for Code-Level Neural Architecture Search
- NeurIPS 2023Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
- NeurIPS 2023Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
- NeurIPS 2023Exploring Diverse In-Context Configurations for Image Captioning
- NeurIPS 2023Exploring Geometry of Blind Spots in Vision models
- NeurIPS 2023Exploring Question Decomposition for Zero-Shot VQA
- NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
- NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
- NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
- NeurIPS 2023Fairness-guided Few-shot Prompting for Large Language Models
- NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
- NeurIPS 2023Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
- NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
- NeurIPS 2023FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
- NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
- NeurIPS 2023Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
- NeurIPS 2023Fine-Grained Visual Prompting
- NeurIPS 2023Fine-Tuning Language Models with Just Forward Passes
- NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
- NeurIPS 2023FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
- NeurIPS 2023FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
- NeurIPS 2023Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
- NeurIPS 2023Focus Your Attention when Few-Shot Classification
- NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
- NeurIPS 2023Foundation Model is Efficient Multimodal Multitask Model Selector
- NeurIPS 2023Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
- NeurIPS 2023From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
- NeurIPS 2023Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
- NeurIPS 2023Generating Images with Multimodal Language Models
- NeurIPS 2023Generator Identification for Linear SDEs with Additive and Multiplicative Noise
- NeurIPS 2023GenEval: An object-focused framework for evaluating text-to-image alignment
- NeurIPS 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
- NeurIPS 2023GEO-Bench: Toward Foundation Models for Earth Monitoring
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。