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 42 / 67 页
- NeurIPS 2025Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
- NeurIPS 2025Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
- NeurIPS 2025Polyline Path Masked Attention for Vision Transformer
- NeurIPS 2025PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
- NeurIPS 2025PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
- NeurIPS 2025Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
- NeurIPS 2025Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
- NeurIPS 2025Power Lines: Scaling laws for weight decay and batch size in LLM pre-training
- NeurIPS 2025PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
- NeurIPS 2025Practical and Effective Code Watermarking for Large Language Models
- NeurIPS 2025Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
- NeurIPS 2025Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs
- NeurIPS 2025PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
- NeurIPS 2025PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
- NeurIPS 2025PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
- NeurIPS 2025Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
- NeurIPS 2025Probabilistic Token Alignment for Large Language Model Fusion
- NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
- NeurIPS 2025Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion
- NeurIPS 2025Projective Equivariant Networks via Second-order Fundamental Differential Invariants
- NeurIPS 2025Prompt-guided Disentangled Representation for Action Recognition
- NeurIPS 2025Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment
- NeurIPS 2025Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents
- NeurIPS 2025Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs
- NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
- NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
- NeurIPS 2025PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
- NeurIPS 2025QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution
- NeurIPS 2025QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
- NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
- NeurIPS 2025QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
- NeurIPS 2025Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
- NeurIPS 2025Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
- NeurIPS 2025Quantifying Cross-Modality Memorization in Vision-Language Models
- NeurIPS 2025Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
- NeurIPS 2025QuARI: Query Adaptive Retrieval Improvement
- NeurIPS 2025QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
- NeurIPS 2025R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO
- NeurIPS 2025RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
- NeurIPS 2025RADAR: Benchmarking Language Models on Imperfect Tabular Data
- NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
- NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
- NeurIPS 2025RAST: Reasoning Activation in LLMs via Small-model Transfer
- NeurIPS 2025RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
- NeurIPS 2025RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs
- NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
- NeurIPS 2025Reading Recognition in the Wild
- NeurIPS 2025ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
- NeurIPS 2025Real-Time Execution of Action Chunking Flow Policies
- NeurIPS 2025Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
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。