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 30 / 35 页
- NeurIPS 2024II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
- NeurIPS 2024Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions
- NeurIPS 2024Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images
- NeurIPS 2024Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
- NeurIPS 2024Images that Sound: Composing Images and Sounds on a Single Canvas
- NeurIPS 2024IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
- NeurIPS 2024ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images
- NeurIPS 2024IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
- NeurIPS 2024Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
- NeurIPS 2024InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
- NeurIPS 2024InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
- NeurIPS 2024INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
- NeurIPS 2024InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
- NeurIPS 2024Instruction-Guided Visual Masking
- NeurIPS 2024Interfacing Foundation Models' Embeddings
- NeurIPS 2024InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
- NeurIPS 2024Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
- NeurIPS 2024Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
- NeurIPS 2024Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
- NeurIPS 2024Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
- NeurIPS 2024IPO: Interpretable Prompt Optimization for Vision-Language Models
- NeurIPS 2024Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
- NeurIPS 2024JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images
- NeurIPS 2024Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
- NeurIPS 2024KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
- NeurIPS 2024LAVIB: A Large-scale Video Interpolation Benchmark
- NeurIPS 2024Learning Action and Reasoning-Centric Image Editing from Videos and Simulation
- NeurIPS 2024Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
- NeurIPS 2024Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
- NeurIPS 2024Learning Spatially-Aware Language and Audio Embeddings
- NeurIPS 2024Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
- NeurIPS 2024Learning Truncated Causal History Model for Video Restoration
- NeurIPS 2024Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
- NeurIPS 2024Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
- NeurIPS 2024Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
- NeurIPS 2024LG-CAV: Train Any Concept Activation Vector with Language Guidance
- NeurIPS 2024Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
- NeurIPS 2024LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages
- NeurIPS 2024LIVE: Learnable In-Context Vector for Visual Question Answering
- NeurIPS 2024LLaMo: Large Language Model-based Molecular Graph Assistant
- NeurIPS 2024LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
- NeurIPS 2024LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning
- NeurIPS 2024LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
- NeurIPS 2024LOVA3: Learning to Visual Question Answering, Asking and Assessment
- NeurIPS 2024Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
- NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
- NeurIPS 2024Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
- NeurIPS 2024Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
- NeurIPS 2024MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
- NeurIPS 2024MARPLE: A Benchmark for Long-Horizon Inference
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。