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 3,319 篇，第 29 / 67 页
- NeurIPS 2025Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
- NeurIPS 2025AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
- NeurIPS 2025AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
- NeurIPS 2025ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
- NeurIPS 2025Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
- NeurIPS 2025AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
- NeurIPS 2025Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
- NeurIPS 2025AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
- NeurIPS 2025AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark
- NeurIPS 2025Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
- NeurIPS 2025AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
- NeurIPS 2025AI Testing Should Account for Sophisticated Strategic Behaviour
- NeurIPS 2025AION-1: Omnimodal Foundation Model for Astronomical Sciences
- NeurIPS 2025ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
- NeurIPS 2025Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
- NeurIPS 2025AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
- NeurIPS 2025AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
- NeurIPS 2025ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
- NeurIPS 2025Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
- NeurIPS 2025An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
- NeurIPS 2025An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
- NeurIPS 2025Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
- NeurIPS 2025AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
- NeurIPS 2025AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
- NeurIPS 2025Approximate Domain Unlearning for Vision-Language Models
- NeurIPS 2025Approximately Aligned Decoding
- NeurIPS 2025ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
- NeurIPS 2025Asymmetric Dual-Lens Video Deblurring
- NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
- NeurIPS 2025Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs
- NeurIPS 2025Attention! Your Vision Language Model Could Be Maliciously Manipulated
- NeurIPS 2025Automated Model Discovery via Multi-modal & Multi-step Pipeline
- NeurIPS 2025Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
- NeurIPS 2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
- NeurIPS 2025Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
- NeurIPS 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
- NeurIPS 2025AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
- NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
- NeurIPS 2025BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
- NeurIPS 2025Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization
- NeurIPS 2025Balancing Multimodal Training Through Game-Theoretic Regularization
- NeurIPS 2025BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
- NeurIPS 2025BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation
- NeurIPS 2025Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
- NeurIPS 2025Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
- NeurIPS 2025Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
- NeurIPS 2025Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
- NeurIPS 2025Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
- NeurIPS 2025Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
- NeurIPS 2025Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
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。