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 188 / 225 页
- ICML 2024IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
- ICML 2024Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs
- ICML 2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
- ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
- ICML 2024Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
- ICML 2024Language Models Represent Beliefs of Self and Others
- ICML 2024Language Models with Conformal Factuality Guarantees
- ICML 2024Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
- ICML 2024Large Language Models are Geographically Biased
- ICML 2024Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
- ICML 2024Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
- ICML 2024Latent variable model for high-dimensional point process with structured missingness
- ICML 2024LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
- ICML 2024Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
- ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
- ICML 2024Learning Pseudo-Contractive Denoisers for Inverse Problems
- ICML 2024Learning to Explore in POMDPs with Informational Rewards
- ICML 2024Learning to Scale Logits for Temperature-Conditional GFlowNets
- ICML 2024Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
- ICML 2024LESS: Selecting Influential Data for Targeted Instruction Tuning
- ICML 2024Let Go of Your Labels with Unsupervised Transfer
- ICML 2024Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
- ICML 2024Leveraging VLM-Based Pipelines to Annotate 3D Objects
- ICML 2024Libra: Building Decoupled Vision System on Large Language Models
- ICML 2024LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
- ICML 2024Lightweight Image Super-Resolution via Flexible Meta Pruning
- ICML 2024Linear Explanations for Individual Neurons
- ICML 2024LLark: A Multimodal Instruction-Following Language Model for Music
- ICML 2024LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
- ICML 2024Low-Rank Similarity Mining for Multimodal Dataset Distillation
- ICML 2024LQER: Low-Rank Quantization Error Reconstruction for LLMs
- ICML 2024Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
- ICML 2024MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
- ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
- ICML 2024MathScale: Scaling Instruction Tuning for Mathematical Reasoning
- ICML 2024Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
- ICML 2024MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution
- ICML 2024MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
- ICML 2024Minimum-Norm Interpolation Under Covariate Shift
- ICML 2024MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
- ICML 2024MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
- ICML 2024MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
- ICML 2024MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
- ICML 2024Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
- ICML 2024MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
- ICML 2024Modeling Caption Diversity in Contrastive Vision-Language Pretraining
- ICML 2024Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
- ICML 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
- ICML 2024MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
- ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
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。