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 31 / 67 页
- NeurIPS 2025Chain-of-Model Learning for Language Model
- NeurIPS 2025Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
- NeurIPS 2025ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
- NeurIPS 2025ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
- NeurIPS 2025CHASM: Unveiling Covert Advertisements on Chinese Social Media
- NeurIPS 2025ChatbotID: Identifying Chatbots with Granger Causality Test
- NeurIPS 2025ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning
- NeurIPS 2025ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
- NeurIPS 2025Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
- NeurIPS 2025CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models
- NeurIPS 2025ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
- NeurIPS 2025CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs
- NeurIPS 2025CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
- NeurIPS 2025CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
- NeurIPS 2025CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
- NeurIPS 2025CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
- NeurIPS 2025Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
- NeurIPS 2025CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
- NeurIPS 2025CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
- NeurIPS 2025COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
- NeurIPS 2025Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
- NeurIPS 2025CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
- NeurIPS 2025CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
- NeurIPS 2025CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing
- NeurIPS 2025CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification
- NeurIPS 2025Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
- NeurIPS 2025ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
- NeurIPS 2025Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets
- NeurIPS 2025Compositional Reasoning with Transformers, RNNs, and Chain of Thought
- NeurIPS 2025Compress & Cache: Vision token compression for efficient generation and retrieval
- NeurIPS 2025Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
- NeurIPS 2025ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
- NeurIPS 2025Conditional Representation Learning for Customized Tasks
- NeurIPS 2025Conditioning Matters: Training Diffusion Policies is Faster Than You Think
- NeurIPS 2025ConfTuner: Training Large Language Models to Express Their Confidence Verbally
- NeurIPS 2025ConnectomeBench: Can LLMs proofread the connectome?
- NeurIPS 2025Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
- NeurIPS 2025Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
- NeurIPS 2025Continual Multimodal Contrastive Learning
- NeurIPS 2025Contrastive Representations for Temporal Reasoning
- NeurIPS 2025ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts
- NeurIPS 2025ConViS-Bench: Estimating Video Similarity Through Semantic Concepts
- NeurIPS 2025CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding
- NeurIPS 2025CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks
- NeurIPS 2025CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
- NeurIPS 2025CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
- NeurIPS 2025Cost-Aware Contrastive Routing for LLMs
- NeurIPS 2025Counterfactual Evolution of Multimodal Datasets via Visual Programming
- NeurIPS 2025Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
- NeurIPS 2025Counterfactual reasoning: an analysis of in-context emergence
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。