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 390 篇，第 7 / 8 页
- ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
- ICML 2025SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
- ICML 2025Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
- ICML 2025Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
- ICML 2025SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
- ICML 2025SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
- ICML 2025Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
- ICML 2025Selective Prompt Anchoring for Code Generation
- ICML 2025Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
- ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
- ICML 2025Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
- ICML 2025SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
- ICML 2025SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
- ICML 2025ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
- ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
- ICML 2025SlimLLM: Accurate Structured Pruning for Large Language Models
- ICML 2025Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
- ICML 2025Softmax is not Enough (for Sharp Size Generalisation)
- ICML 2025SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
- ICML 2025SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
- ICML 2025SPEX: Scaling Feature Interaction Explanations for LLMs
- ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
- ICML 2025Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
- ICML 2025Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM
- ICML 2025Subobject-level Image Tokenization
- ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
- ICML 2025SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
- ICML 2025Synonymous Variational Inference for Perceptual Image Compression
- ICML 2025TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
- ICML 2025Taming Rectified Flow for Inversion and Editing
- ICML 2025Targeted Unlearning with Single Layer Unlearning Gradient
- ICML 2025Teaching Physical Awareness to LLMs through Sounds
- ICML 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
- ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
- ICML 2025Test-Time Multimodal Backdoor Detection by Contrastive Prompting
- ICML 2025Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models
- ICML 2025TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
- ICML 2025Textural or Textual: How Vision-Language Models Read Text in Images
- ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
- ICML 2025The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference
- ICML 2025The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
- ICML 2025The Role of Sparsity for Length Generalization in LLMs
- ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
- ICML 2025TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
- ICML 2025Tool Unlearning for Tool-Augmented LLMs
- ICML 2025Topological Signatures of Adversaries in Multimodal Alignments
- ICML 2025Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
- ICML 2025Towards Better-than-2 Approximation for Constrained Correlation Clustering
- ICML 2025Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
- ICML 2025Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
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。