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 35 / 67 页
- NeurIPS 2025From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
- NeurIPS 2025From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
- NeurIPS 2025From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
- NeurIPS 2025From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes
- NeurIPS 2025From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
- NeurIPS 2025From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
- NeurIPS 2025From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
- NeurIPS 2025FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
- NeurIPS 2025GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
- NeurIPS 2025GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
- NeurIPS 2025Gate to the Vessel: Residual Experts Restore What SAM Overlooks
- NeurIPS 2025Gatekeeper: Improving Model Cascades Through Confidence Tuning
- NeurIPS 2025GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything
- NeurIPS 2025Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
- NeurIPS 2025GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
- NeurIPS 2025Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
- NeurIPS 2025Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
- NeurIPS 2025Generalized Contrastive Learning for Universal Multimodal Retrieval
- NeurIPS 2025Generalized Linear Mode Connectivity for Transformers
- NeurIPS 2025Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
- NeurIPS 2025Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
- NeurIPS 2025Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
- NeurIPS 2025GenIR: Generative Visual Feedback for Mental Image Retrieval
- NeurIPS 2025GenSpace: Benchmarking Spatially-Aware Image Generation
- NeurIPS 2025GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data
- NeurIPS 2025GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
- NeurIPS 2025GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
- NeurIPS 2025Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression
- NeurIPS 2025Global Minimizers of Sigmoid Contrastive Loss
- NeurIPS 2025GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
- NeurIPS 2025GoalLadder: Incremental Goal Discovery with Vision-Language Models
- NeurIPS 2025Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
- NeurIPS 2025GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers
- NeurIPS 2025GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation
- NeurIPS 2025GradMetaNet: An Equivariant Architecture for Learning on Gradients
- NeurIPS 2025Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
- NeurIPS 2025GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
- NeurIPS 2025GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains
- NeurIPS 2025GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
- NeurIPS 2025GRIT: Teaching MLLMs to Think with Images
- NeurIPS 2025Grounded Reinforcement Learning for Visual Reasoning
- NeurIPS 2025Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
- NeurIPS 2025GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
- NeurIPS 2025GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
- NeurIPS 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
- NeurIPS 2025GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation
- NeurIPS 2025GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
- NeurIPS 2025Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
- NeurIPS 2025Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
- NeurIPS 2025HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
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。