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 11,207 篇，第 217 / 225 页
- NeurIPS 2023Analyzing Vision Transformers for Image Classification in Class Embedding Space
- NeurIPS 2023AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
- NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
- NeurIPS 2023Any-to-Any Generation via Composable Diffusion
- NeurIPS 2023Are Diffusion Models Vision-And-Language Reasoners?
- NeurIPS 2023Are Emergent Abilities of Large Language Models a Mirage?
- NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
- NeurIPS 2023ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training
- NeurIPS 2023ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
- NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
- NeurIPS 2023Augmenting Language Models with Long-Term Memory
- NeurIPS 2023Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
- NeurIPS 2023Balanced Training for Sparse GANs
- NeurIPS 2023Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
- NeurIPS 2023Benchmarking Foundation Models with Language-Model-as-an-Examiner
- NeurIPS 2023Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
- NeurIPS 2023Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
- NeurIPS 2023BERT Lost Patience Won't Be Robust to Adversarial Slowdown
- NeurIPS 2023Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
- NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
- NeurIPS 2023Block-State Transformers
- NeurIPS 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
- NeurIPS 2023Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
- NeurIPS 2023Brain encoding models based on multimodal transformers can transfer across language and vision
- NeurIPS 2023Brant: Foundation Model for Intracranial Neural Signal
- NeurIPS 2023Break It Down: Evidence for Structural Compositionality in Neural Networks
- NeurIPS 2023C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
- NeurIPS 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
- NeurIPS 2023CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
- NeurIPS 2023Can Language Models Solve Graph Problems in Natural Language?
- NeurIPS 2023Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
- NeurIPS 2023CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
- NeurIPS 2023Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
- NeurIPS 2023CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
- NeurIPS 2023CAST: Cross-Attention in Space and Time for Video Action Recognition
- NeurIPS 2023Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
- NeurIPS 2023Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
- NeurIPS 2023ChatGPT-Powered Hierarchical Comparisons for Image Classification
- NeurIPS 2023Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
- NeurIPS 2023Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
- NeurIPS 2023CLadder: Assessing Causal Reasoning in Language Models
- NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
- NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
- NeurIPS 2023Cola: A Benchmark for Compositional Text-to-image Retrieval
- NeurIPS 2023Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
- NeurIPS 2023Compact Neural Volumetric Video Representations with Dynamic Codebooks
- NeurIPS 2023Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
- NeurIPS 2023Compositional Foundation Models for Hierarchical Planning
- NeurIPS 2023Computational Guarantees for Doubly Entropic Wasserstein Barycenters
- NeurIPS 2023Computing a human-like reaction time metric from stable recurrent vision models
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。