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 1,716 篇，第 29 / 35 页
- NeurIPS 2024Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
- NeurIPS 2024EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
- NeurIPS 2024Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
- NeurIPS 2024EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
- NeurIPS 2024Facilitating Multimodal Classification via Dynamically Learning Modality Gap
- NeurIPS 2024FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
- NeurIPS 2024FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
- NeurIPS 2024Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
- NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
- NeurIPS 2024Few-Shot Adversarial Prompt Learning on Vision-Language Models
- NeurIPS 2024FindingEmo: An Image Dataset for Emotion Recognition in the Wild
- NeurIPS 2024Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
- NeurIPS 2024Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
- NeurIPS 2024FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
- NeurIPS 2024FlexCap: Describe Anything in Images in Controllable Detail
- NeurIPS 2024Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
- NeurIPS 2024Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
- NeurIPS 2024From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
- NeurIPS 2024Frustratingly Easy Test-Time Adaptation of Vision-Language Models
- NeurIPS 2024FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
- NeurIPS 2024G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
- NeurIPS 2024GC-Bench: An Open and Unified Benchmark for Graph Condensation
- NeurIPS 2024GenAI Arena: An Open Evaluation Platform for Generative Models
- NeurIPS 2024GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
- NeurIPS 2024GenRL: Multimodal-foundation world models for generalization in embodied agents
- NeurIPS 2024GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
- NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
- NeurIPS 2024GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching
- NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
- NeurIPS 2024GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
- NeurIPS 2024Grounding Multimodal Large Language Models in Actions
- NeurIPS 2024HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
- NeurIPS 2024Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction
- NeurIPS 2024Harmonizing Visual Text Comprehension and Generation
- NeurIPS 2024HAWK: Learning to Understand Open-World Video Anomalies
- NeurIPS 2024HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
- NeurIPS 2024HEMM: Holistic Evaluation of Multimodal Foundation Models
- NeurIPS 2024HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model
- NeurIPS 2024HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
- NeurIPS 2024Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
- NeurIPS 2024Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
- NeurIPS 2024Historical Test-time Prompt Tuning for Vision Foundation Models
- NeurIPS 2024Homology Consistency Constrained Efficient Tuning for Vision-Language Models
- NeurIPS 2024HourVideo: 1-Hour Video-Language Understanding
- NeurIPS 2024Human-level shape inferences: A benchmark for evaluating the 3D understanding of vision models
- NeurIPS 2024HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
- NeurIPS 2024HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid
- NeurIPS 2024Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
- NeurIPS 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
- NeurIPS 2024IF-Font: Ideographic Description Sequence-Following Font Generation
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。