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 33 / 35 页
- NeurIPS 2024Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
- NeurIPS 2024SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
- NeurIPS 2024Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
- NeurIPS 2024SHDocs: A dataset, benchmark, and method to efficiently generate high-quality, real-world specular highlight data with near-perfect alignment
- NeurIPS 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
- NeurIPS 2024Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
- NeurIPS 2024SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
- NeurIPS 2024Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
- NeurIPS 2024Slot-VLM: Object-Event Slots for Video-Language Modeling
- NeurIPS 2024SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
- NeurIPS 2024SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors
- NeurIPS 2024SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models
- NeurIPS 2024SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
- NeurIPS 2024Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
- NeurIPS 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
- NeurIPS 2024Splatter a Video: Video Gaussian Representation for Versatile Processing
- NeurIPS 2024SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
- NeurIPS 2024Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
- NeurIPS 2024StackEval: Benchmarking LLMs in Coding Assistance
- NeurIPS 2024STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
- NeurIPS 2024StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences
- NeurIPS 2024Streaming Detection of Queried Event Start
- NeurIPS 2024Streaming Long Video Understanding with Large Language Models
- NeurIPS 2024SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
- NeurIPS 2024SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition
- NeurIPS 2024SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning
- NeurIPS 2024T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition
- NeurIPS 2024TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
- NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
- NeurIPS 2024TAPVid-3D: A Benchmark for Tracking Any Point in 3D
- NeurIPS 2024Task Me Anything
- NeurIPS 2024Testing Semantic Importance via Betting
- NeurIPS 2024Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
- NeurIPS 2024Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
- NeurIPS 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
- NeurIPS 2024The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
- NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
- NeurIPS 2024Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
- NeurIPS 2024TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
- NeurIPS 2024TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
- NeurIPS 2024Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
- NeurIPS 2024Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
- NeurIPS 2024Towards Calibrated Robust Fine-Tuning of Vision-Language Models
- NeurIPS 2024Towards Flexible Visual Relationship Segmentation
- NeurIPS 2024Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
- NeurIPS 2024Towards Robust Multimodal Sentiment Analysis with Incomplete Data
- NeurIPS 2024Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
- NeurIPS 2024TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning
- NeurIPS 2024Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
- NeurIPS 2024TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
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。