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 3,075 篇，第 34 / 62 页
- ICML 2025Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
- ICML 2025CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
- ICML 2025Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
- ICML 2025Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
- ICML 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
- ICML 2025CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
- ICML 2025CoMemo: LVLMs Need Image Context with Image Memory
- ICML 2025Compositional Condition Question Answering in Tabular Understanding
- ICML 2025Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
- ICML 2025Context is Key: A Benchmark for Forecasting with Essential Textual Information
- ICML 2025ConText: Driving In-context Learning for Text Removal and Segmentation
- ICML 2025Contrastive Localized Language-Image Pre-Training
- ICML 2025CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
- ICML 2025Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
- ICML 2025CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models
- ICML 2025Cradle: Empowering Foundation Agents towards General Computer Control
- ICML 2025Cross-Modal Alignment via Variational Copula Modelling
- ICML 2025CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
- ICML 2025CTBench: A Library and Benchmark for Certified Training
- ICML 2025CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
- ICML 2025Curvature Enhanced Data Augmentation for Regression
- ICML 2025DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
- ICML 2025Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
- ICML 2025DEALing with Image Reconstruction: Deep Attentive Least Squares
- ICML 2025Decomposition of Graphic Design with Unified Multimodal Model
- ICML 2025Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
- ICML 2025DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
- ICML 2025Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
- ICML 2025Delta Decompression for MoE-based LLMs Compression
- ICML 2025Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
- ICML 2025Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs
- ICML 2025Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
- ICML 2025Diffusion Instruction Tuning
- ICML 2025DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
- ICML 2025Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights
- ICML 2025DIS-CO: Discovering Copyrighted Content in VLMs Training Data
- ICML 2025DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
- ICML 2025Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering
- ICML 2025Do Vision-Language Models Really Understand Visual Language?
- ICML 2025DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning
- ICML 2025Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering
- ICML 2025DS-VLM: Diffusion Supervision Vision Language Model
- ICML 2025Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
- ICML 2025DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making
- ICML 2025EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
- ICML 2025EditLord: Learning Code Transformation Rules for Code Editing
- ICML 2025EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
- ICML 2025EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping
- ICML 2025Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
- ICML 2025Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
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。