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 51 / 67 页
- NeurIPS 2024CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
- NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
- NeurIPS 2024CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
- NeurIPS 2024ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
- NeurIPS 2024CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
- NeurIPS 2024Classification Done Right for Vision-Language Pre-Training
- NeurIPS 2024Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
- NeurIPS 2024ClevrSkills: Compositional Language And Visual Reasoning in Robotics
- NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
- NeurIPS 2024CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
- NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
- NeurIPS 2024Coarse-to-Fine Concept Bottleneck Models
- NeurIPS 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
- NeurIPS 2024CogVLM: Visual Expert for Pretrained Language Models
- NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
- NeurIPS 2024COLD: Causal reasOning in cLosed Daily activities
- NeurIPS 2024ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
- NeurIPS 2024Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
- NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
- NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
- NeurIPS 2024Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
- NeurIPS 2024Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
- NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
- NeurIPS 2024ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
- NeurIPS 2024ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
- NeurIPS 2024CountGD: Multi-Modal Open-World Counting
- NeurIPS 2024cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
- NeurIPS 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
- NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
- NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
- NeurIPS 2024CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
- NeurIPS 2024Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
- NeurIPS 2024DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
- NeurIPS 2024Data curation via joint example selection further accelerates multimodal learning
- NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
- NeurIPS 2024Deep Correlated Prompting for Visual Recognition with Missing Modalities
- NeurIPS 2024DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
- NeurIPS 2024Déjà Vu Memorization in Vision–Language Models
- NeurIPS 2024Dense Connector for MLLMs
- NeurIPS 2024DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
- NeurIPS 2024Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
- NeurIPS 2024DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
- NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
- NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
- NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
- NeurIPS 2024DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
- NeurIPS 2024Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks
- NeurIPS 2024Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
- NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
- NeurIPS 2024DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
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。