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 54 / 225 页
- ICLR 2026UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing
- ICLR 2026UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
- ICLR 2026UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
- ICLR 2026UNITE: Universal kNowledge Integration from Task-specific Experts
- ICLR 2026UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding
- ICLR 2026UNIVERSAL AND EFFICIENT LOADING BALANCING FOR RL TRAINING OF LARGE MULTIMODAL MODELS
- ICLR 2026Universal Properties of Activation Sparsity in Modern Large Language Models
- ICLR 2026Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
- ICLR 2026Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
- ICLR 2026Unleashing Perception-Time Scaling to Multimodal Reasoning Models
- ICLR 2026Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
- ICLR 2026Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models
- ICLR 2026Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework
- ICLR 2026Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective
- ICLR 2026Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection
- ICLR 2026Unveiling Super Experts in Mixture-of-Experts Large Language Models
- ICLR 2026Unveiling the Cognitive Compass: Theory-of-Mind–Guided Multimodal Emotion Reasoning
- ICLR 2026Urban Socio-Semantic Segmentation with Vision-Language Reasoning
- ICLR 2026UrbanFeel：A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human Perspective
- ICLR 2026V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction
- ICLR 2026VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
- ICLR 2026Variational Reasoning for Language Models
- ICLR 2026VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery
- ICLR 2026VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models
- ICLR 2026VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
- ICLR 2026Verification and Co-Alignment via Heterogeneous Consistency for Preference-Aligned LLM Annotations
- ICLR 2026Verifier-free Test-Time Sampling for Vision Language Action Models
- ICLR 2026VGR: Visual Grounded Reasoning
- ICLR 2026Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy
- ICLR 2026Video-As-Prompt: Unified Semantic Control for Video Generation
- ICLR 2026Video-KTR: Reinforcing Video Reasoning via Key Token Attribution
- ICLR 2026Video-LevelGauge: Investigating Contextual Positional Bias in Video Language Models.
- ICLR 2026Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools
- ICLR 2026VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning
- ICLR 2026VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
- ICLR 2026VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding
- ICLR 2026VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video
- ICLR 2026VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning
- ICLR 2026VideoNSA: Native Sparse Attention Scales Video Understanding
- ICLR 2026VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
- ICLR 2026VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning
- ICLR 2026VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
- ICLR 2026villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
- ICLR 2026ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models
- ICLR 2026ViPRA: Video Prediction for Robot Actions
- ICLR 2026VIRTUE: Visual-Interactive Text-Image Universal Embedder
- ICLR 2026VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
- ICLR 2026VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs
- ICLR 2026Vision Language Models are Biased
- ICLR 2026Vision-Language-Action Instruction Tuning: From Understanding to Manipulation
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。