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 1,372 篇，第 21 / 28 页
- CVPR 2026SaPaVe Towards Active Perception and Manipulation in Vision-Language Action Models
- CVPR 2026SASNet Spatially-Adaptive Sinusoidal Networks for INRs
- CVPR 2026Scalable Object Relation Encoding for Better 3D Spatial Reasoning in
- CVPR 2026Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
- CVPR 2026Scaling Multi-Identity Consistency for Image Customization via Multi-to-Multi Matching Paradigm
- CVPR 2026Scaling Parallel Sequence Models to Vision Foundation Models
- CVPR 2026Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
- CVPR 2026Scaling Spatial Intelligence with Multimodal Foundation Models
- CVPR 2026Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework
- CVPR 2026Scaling the Long Video Understanding of Multimodal Large Language Models
- CVPR 2026Scan Clusters Not Pixels A Cluster-Centric Paradigm for Efficient Ultra-high-definition
- CVPR 2026SCE-Depth A Spherical Compound Eye Framework for Wide FOV Depth
- CVPR 2026Scenes as Tokens Multi-Scale Normal Distributions Transform Tokenizer for General
- CVPR 2026SceneTok A Compressed Diffusable Token Space for 3D Scenes
- CVPR 2026SCIEval Evaluating and Benchmarking the Faithfulness of Scientific Image Generation
- CVPR 2026SCoRe Salience-Coverage Reduction for Vision Token Pruning in Vision-Language Models
- CVPR 2026SDTrack A Baseline for Event-based Tracking via Spiking Neural Networks
- CVPR 2026SEA Evaluating Sketch Abstraction Efficiency via Element-level Commonsense Visual Question
- CVPR 2026SEA-Vision A Multilingual Benchmark for Comprehensive Document and Scene Text
- CVPR 2026SEASON Mitigating Temporal Hallucination in Video Large Language Models via
- CVPR 2026SEATrack Simple Efficient and Adaptive Multimodal Tracker
- CVPR 2026SeD-UD An Influence-Driven and Hierarchically-Decoupled Information Bottleneck for Multimodal Intent
- CVPR 2026See Further Think Deeper Advancing VLMs Reasoning Ability with Low-level
- CVPR 2026See It Say It Sorted An Iterative Training-Free Framework for
- CVPR 2026See Less See Right Bi-directional Perceptual Shaping For Multimodal Reasoning
- CVPR 2026See What I Mean Aligning Vision and Language Representations for
- CVPR 2026See What We Cannot See A Geo-guided Reasoning Benchmark for
- CVPR 2026Seeing as Experts Do A Knowledge-Augmented Agent for Open-Set Fine-Grained
- CVPR 2026Seeing Beyond 8bits Subjective and Objective Quality Assessment of HDR-UGC
- CVPR 2026Seeing Clearly Reasoning Confidently Plug-and-Play Remedies for Vision Language Model
- CVPR 2026Seeing Conversations Communication Context Identification in Egocentric Video
- CVPR 2026Seeing Motion Through Polarity for Event-based Action Recognition
- CVPR 2026Seeing the Scene Matters Revealing Forgetting in Video Understanding Models
- CVPR 2026Seeing What Matters A Training-Free Self-Guided Framework for Multimodal Detail
- CVPR 2026SegGBC Justifiable Coarse-to-Fine Granular-Ball Computing for Enhancing Clustering Image Segmentation
- CVPR 2026SegMoTE Token-Level Mixture of Experts for Medical Image Segmentation
- CVPR 2026Select Less Reason More Prioritizing Evidence Purity for Video Reasoning
- CVPR 2026Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning
- CVPR 2026Selective Regularized and Calibrated Harnessing Vision Foundation Models for Cross-Domain
- CVPR 2026SelecTKD Selective Token-Weighted Knowledge Distillation for LLMs
- CVPR 2026Self-Consistency for LLM-Based Motion Trajectory Generation and Verification
- CVPR 2026Self-Critical Distillation Network for Video-based Commonsense Captioning
- CVPR 2026Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration
- CVPR 2026Semantic Scale Space A Framework for Controllable Image Abstraction
- CVPR 2026Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning
- CVPR 2026SemanticVLA Towards Semantic Reasoning over Action Memorization via Synergistic Explicit
- CVPR 2026SemVideo Reconstructs What You Watch from Brain Activity via Hierarchical
- CVPR 2026SenseSearch Empowering Vision-Language Models with High-Resolution Agentic Search-Reasoning via Reinforcement
- CVPR 2026SGDrive Scene-to-Goal Hierarchical World Cognition for Autonomous Driving
- CVPR 2026SGSoft Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via
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。