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 71 / 104 页
- ICML 2026RoboOmni: Actions Are Just Another Modality for Vision-Language Models
- ICML 2026RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
- ICML 2026Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
- ICML 2026Robust Vision-Language Models via Manifold-Adversarial Adapters
- ICML 2026Robustifying Vision-Language Models via Test-Time Prompt Adaptation
- ICML 2026Rotary Position Encodings for Graphs
- ICML 2026RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
- ICML 2026RVAS: Referring Video Active Exploration and Segmentation
- ICML 2026S2M-Net: Spectral-Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation
- ICML 2026Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
- ICML 2026SAGE: A Dataflow-Native Framework for Modular, Controllable, and Transparent LLM-Augmented Reasoning
- ICML 2026SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs
- ICML 2026SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
- ICML 2026SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning
- ICML 2026Sampling and Identity-Testing Without Approximate Tensorization of Entropy
- ICML 2026SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering
- ICML 2026SAW-Bench: Learning Situated Awareness in the Real World
- ICML 2026Scalable Kronecker-Factored Fisher Approximation for Neural Network Parameter Sensitivity
- ICML 2026Scalable Medical Multimodal Fusion via Symmetric Consistency Modeling
- ICML 2026Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
- ICML 2026SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
- ICML 2026ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation
- ICML 2026Scaling by Diversified Experience for Vision-Language-Action Models
- ICML 2026Scaling Prompt Synthesis for Large Language Model Reasoning
- ICML 2026Scaling Vision Transformers for Functional MRI with Flat Maps
- ICML 2026Scaling-Aware Adapter for Structure-Grounded LLM Reasoning
- ICML 2026Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation
- ICML 2026ScalingAR: Scaling Confidence for Autoregressive Image Generation
- ICML 2026Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models
- ICML 2026SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes
- ICML 2026SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?
- ICML 2026SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
- ICML 2026SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text
- ICML 2026SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments
- ICML 2026ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision
- ICML 2026SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation
- ICML 2026SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
- ICML 2026Securing Multimodal AI through Internal Information Decomposition
- ICML 2026See First, Reason Later: Mutual Information-Guided Reinforcement Learning for Vision-Language Models
- ICML 2026See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model
- ICML 2026See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent
- ICML 2026Seeing is Solving: Unlocking Efficient Multimodal RL via View Alignment
- ICML 2026Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs
- ICML 2026Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
- ICML 2026Seeing Symbols, Missing Structure: A Real-World Handwritten Mathematical Expression Recognition Benchmark for Large Models
- ICML 2026Seeing to Generalize: How Visual Data Corrects Binding Shortcuts
- ICML 2026Seeing Without Understanding: Disentangling Perception, Reasoning, and Simulation in VLM Gameplay
- ICML 2026Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search
- ICML 2026Seizure-Semiology-Suite($S^3$): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology 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。