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 75 / 104 页
- ICML 2026Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
- ICML 2026Towards Solving the Gilbert-Pollak Conjecture via Large Language Models
- ICML 2026Towards Trustworthy Video Anomaly Understanding: A Class-Guided Chain-of-Evaluation Metric and An Anomaly-focused Meta-Benchmark
- ICML 2026Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
- ICML 2026Towards Uniformity and Alignment for Multimodal Representation Learning
- ICML 2026TRACER: Persistent Regularization for Robust Multimodal Finetuning
- ICML 2026Training Data Efficiency in Multimodal Process Reward Models
- ICML 2026Training-Free Multimodal Large Language Model Orchestration
- ICML 2026Training–Inference Consistent Segmented Execution for Long-Context LLMs
- ICML 2026Transform Trained Transformer for Accelerating Native 4K Video Generation
- ICML 2026Transitive Representation Learning Enhances Histopathology Annotation
- ICML 2026Transport and Merge: Cross-Architecture Merging for Large Language Models
- ICML 2026TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
- ICML 2026TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches
- ICML 2026TreeCUA: Efficiently Scaling GUI Automation with Tree-Structured Verifiable Evolution
- ICML 2026TriAttention: Efficient Long Reasoning with Trigonometric KV Compression
- ICML 2026Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion
- ICML 2026TrustworthyQENN: A Quantum Evidential Neural Network Based on Complex-Valued Contrastive Learning for Uncertainty Pattern Classification
- ICML 2026TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
- ICML 2026Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
- ICML 2026TVDRNet: Text-driven Viewpoint Optimization via Differentiable Rendering for 3D Reasoning Segmentation
- ICML 2026TVI-CoT: Text-Visual Interleaved Chain-of-Thought Reasoning for Multimodal Understanding
- ICML 2026TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
- ICML 2026TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
- ICML 2026Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models
- ICML 2026UGround: Towards Unified Visual Grounding with Unrolled Transformers
- ICML 2026UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing
- ICML 2026UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization
- ICML 2026Uncovering Grounding IDs: How External Cues Shape Multi-Modal Binding
- ICML 2026Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
- ICML 2026Understanding Behavior Cloning with Action Quantization
- ICML 2026Understanding the Ability of LLMs to Handle Character-Level Perturbation
- ICML 2026Uni-DocRobust: Universal Plug-and-Play Robustness Enhancement for Multi-modal LLMs via Feature Restoration
- ICML 2026UniFast-HGR: Scalable and Efficient Maximal Correlation for Multimodal Models
- ICML 2026Unified Multimodal Autoregressive Modeling with Shared Context—Visual Tokenizer is Key to Unification
- ICML 2026Unified Multimodal Visual Tracking with Dual Mixture-of-Experts
- ICML 2026Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows
- ICML 2026UniFLoW: Universal Multi-Modal Federated LoRA Fine-Tuning Framework with Analytical Aggregation
- ICML 2026UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning
- ICML 2026UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis
- ICML 2026UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
- ICML 2026UniRTL: Unifying Code and Graph for Robust RTL Representation Learning
- ICML 2026Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation
- ICML 2026Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
- ICML 2026Universal Skeleton Understanding via Differentiable Rendering and MLLMs
- ICML 2026Unlocking Zero-Shot Geospatial Reasoning via Indirect Rewards
- ICML 2026Unveiling the Visual Counting Bottleneck in Vision-Language Models
- ICML 2026UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
- ICML 2026UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
- ICML 2026UrbanMLLM: Joint Learning of Cross-view Imagery for Urban Understanding
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。