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 3,075 篇，第 53 / 62 页
- NeurIPS 2025MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
- NeurIPS 2025MuSLR: Multimodal Symbolic Logical Reasoning
- NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
- NeurIPS 2025MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs
- NeurIPS 2025NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
- NeurIPS 2025Native Segmentation Vision Transformers
- NeurIPS 2025NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding
- NeurIPS 2025NavBench: Probing Multimodal Large Language Models for Embodied Navigation
- NeurIPS 2025Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
- NeurIPS 2025NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
- NeurIPS 2025Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
- NeurIPS 2025Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
- NeurIPS 2025NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
- NeurIPS 2025Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
- NeurIPS 2025Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
- NeurIPS 2025NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
- NeurIPS 2025NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
- NeurIPS 2025Normalize Filters! Classical Wisdom for Deep Vision
- NeurIPS 2025NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data
- NeurIPS 2025NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
- NeurIPS 2025Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
- NeurIPS 2025Object-centric binding in Contrastive Language-Image Pretraining
- NeurIPS 2025OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
- NeurIPS 2025Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
- NeurIPS 2025Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
- NeurIPS 2025OmniBench: Towards The Future of Universal Omni-Language Models
- NeurIPS 2025OmniSVG: A Unified Scalable Vector Graphics Generation Model
- NeurIPS 2025OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions
- NeurIPS 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
- NeurIPS 2025On Evaluating LLM Alignment by Evaluating LLMs as Judges
- NeurIPS 2025On Fairness of Unified Multimodal Large Language Model for Image Generation
- NeurIPS 2025On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
- NeurIPS 2025On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
- NeurIPS 2025One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head
- NeurIPS 2025One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
- NeurIPS 2025One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding
- NeurIPS 2025OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
- NeurIPS 2025OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models
- NeurIPS 2025Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
- NeurIPS 2025Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
- NeurIPS 2025OpenCUA: Open Foundations for Computer-Use Agents
- NeurIPS 2025OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
- NeurIPS 2025OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis
- NeurIPS 2025OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
- NeurIPS 2025OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
- NeurIPS 2025OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
- NeurIPS 2025ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
- NeurIPS 2025Orochi: Versatile Biomedical Image Processor
- NeurIPS 2025OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
- NeurIPS 2025OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
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。