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 1,074 篇，第 12 / 22 页
- NeurIPS 2025MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
- NeurIPS 2025MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection
- NeurIPS 2025MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation
- NeurIPS 2025MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding
- NeurIPS 2025MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
- NeurIPS 2025MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
- NeurIPS 2025MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
- NeurIPS 2025MMaDA: Multimodal Large Diffusion Language Models
- NeurIPS 2025MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
- NeurIPS 2025MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
- NeurIPS 2025MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
- NeurIPS 2025MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models
- NeurIPS 2025MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
- NeurIPS 2025MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning
- NeurIPS 2025MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
- NeurIPS 2025MMPB: It’s Time for Multi-Modal Personalization
- NeurIPS 2025MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness
- NeurIPS 2025mmWalk: Towards Multi-modal Multi-view Walking Assistance
- NeurIPS 2025MoBA: Mixture of Block Attention for Long-Context LLMs
- NeurIPS 2025Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
- NeurIPS 2025Model Editing for Vision Transformers
- NeurIPS 2025Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
- NeurIPS 2025Model Provenance Testing for Large Language Models
- NeurIPS 2025MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
- NeurIPS 2025ModHiFi: Identifying High Fidelity predictive components for Model Modification
- NeurIPS 2025ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
- NeurIPS 2025MokA: Multimodal Low-Rank Adaptation for MLLMs
- NeurIPS 2025MolVision: Molecular Property Prediction with Vision Language Models
- NeurIPS 2025Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
- NeurIPS 2025MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval
- NeurIPS 2025MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
- NeurIPS 2025MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing
- NeurIPS 2025MoRIC: A Modular Region-based Implicit Codec for Image Compression
- NeurIPS 2025MR. Video: MapReduce as an Effective Principle for Long Video Understanding
- NeurIPS 2025MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
- NeurIPS 2025MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
- NeurIPS 2025MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology
- NeurIPS 2025Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
- NeurIPS 2025Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
- NeurIPS 2025Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
- NeurIPS 2025Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
- NeurIPS 2025Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
- NeurIPS 2025MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
- NeurIPS 2025Multimodal 3D Genome Pre-training
- NeurIPS 2025Multimodal Causal Reasoning for UAV Object Detection
- NeurIPS 2025Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
- NeurIPS 2025Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields
- NeurIPS 2025Multimodal Negative Learning
- NeurIPS 2025Multimodal Tabular Reasoning with Privileged Structured Information
- NeurIPS 2025MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
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。