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 59 / 225 页
- ICML 2026CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
- ICML 2026CAST: Modeling Visual State Transitions for Consistent Video Retrieval
- ICML 2026CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs
- ICML 2026CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal Forecasting
- ICML 2026CauSciBench: Can LLMs Automate Causal Inference in Real-World Scientific Research?
- ICML 2026CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models
- ICML 2026Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis
- ICML 2026Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
- ICML 2026CFPO: Counterfactual Policy Optimization for Multimodal Reasoning
- ICML 2026CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
- ICML 2026Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment
- ICML 2026ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing
- ICML 2026Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Vision-Language Models
- ICML 2026CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal
- ICML 2026CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large Vision-Language Models
- ICML 2026CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
- ICML 2026cMoLLM at Scale: Horizontal Scaling Laws for Convolutionally-Gated Mixture-of-LLMs
- ICML 2026Code2Video: A Code-centric Paradigm for Educational Video Creation
- ICML 2026Code2Worlds: Empowering Coding LLMs for 4D World Generation
- ICML 2026COFT: Counterfactual–Conformal Decoding for Fair Chain‑of‑Thought Reasoning in Large Language Models
- ICML 2026CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection
- ICML 2026CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
- ICML 2026Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
- ICML 2026Comp-Attn: Present-and-Align Attention for Compositional Video Generation
- ICML 2026Compass-RoPE: Isotropic Rotary Position Embeddings for Vision Transformers
- ICML 2026Compressed Sensing for Capability Localization in Large Language Models
- ICML 2026Concept Concentration for Faithful Representation Intervention
- ICML 2026Concept-Guided Tokenization: Closing the Gap Between Reconstruction and Generation
- ICML 2026ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
- ICML 2026Condition Number Based Low-Bit Quantization for Image Super-Resolution
- ICML 2026Confidence is Not Universal: Task-Dependent Calibration and Emergent Behavior in LLMs
- ICML 2026Conformal Thinking: Risk Control for Reasoning on a Compute Budget
- ICML 2026ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis
- ICML 2026Context-Aware Reasoner: Enhancing Contextual Reasoning in Multimodal Large Language Models
- ICML 2026Contextualized Visual Personalization in Vision-Language Models
- ICML 2026Contrastive Representation Regularization for Vision-Language-Action Models
- ICML 2026Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
- ICML 2026Controllable and Explainable Personality Sliders for LLMs at Inference Time
- ICML 2026Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
- ICML 2026CoPE: Continual Probe-guided Expansion for Large Vision-Language Models
- ICML 2026CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
- ICML 2026CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
- ICML 2026Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
- ICML 2026Correspondence Cognitive Learning for Multi-Modal Object Re-Identification
- ICML 2026CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
- ICML 2026Counterfactual Residual Data Augmentation for Regression
- ICML 2026Coverage ≠ Exposure: Auditable Control of Same-Support Tail Failures under Multimodal Missingness
- ICML 2026Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models
- ICML 2026Cross-Modal Semantic Decoupling and Transfer for Text-to-Visible-Infrared Person Re-Identification
- ICML 2026CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
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。