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 816 篇，第 9 / 17 页
- ICLR 2025Longhorn: State Space Models are Amortized Online Learners
- ICLR 2025LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement
- ICLR 2025Looking Inward: Language Models Can Learn About Themselves by Introspection
- ICLR 2025LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models
- ICLR 2025LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
- ICLR 2025Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
- ICLR 2025MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
- ICLR 2025MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
- ICLR 2025MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
- ICLR 2025MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
- ICLR 2025Matryoshka Multimodal Models
- ICLR 2025MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
- ICLR 2025MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
- ICLR 2025Measuring And Improving Engagement of Text-to-Image Generation Models
- ICLR 2025Measuring And Improving Persuasiveness Of Large Language Models
- ICLR 2025MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
- ICLR 2025MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
- ICLR 2025MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
- ICLR 2025Memory Efficient Transformer Adapter for Dense Predictions
- ICLR 2025MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
- ICLR 2025Metric-Driven Attributions for Vision Transformers
- ICLR 2025MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
- ICLR 2025MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
- ICLR 2025Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
- ICLR 2025Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
- ICLR 2025Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
- ICLR 2025MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
- ICLR 2025Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
- ICLR 2025Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
- ICLR 2025MiniPLM: Knowledge Distillation for Pre-training Language Models
- ICLR 2025MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
- ICLR 2025Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
- ICLR 2025Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
- ICLR 2025Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment
- ICLR 2025Mitigating Spurious Correlations in Zero-Shot Multimodal Models
- ICLR 2025Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
- ICLR 2025Mixture Compressor for Mixture-of-Experts LLMs Gains More
- ICLR 2025Mixture of Attentions For Speculative Decoding
- ICLR 2025Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
- ICLR 2025Mixture of Parrots: Experts improve memorization more than reasoning
- ICLR 2025MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
- ICLR 2025MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
- ICLR 2025MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
- ICLR 2025MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS
- ICLR 2025MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
- ICLR 2025MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
- ICLR 2025MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
- ICLR 2025MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
- ICLR 2025MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
- ICLR 2025MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA
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。