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 1,074 篇，第 7 / 22 页
- NeurIPS 2025FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
- NeurIPS 2025Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
- NeurIPS 2025Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
- NeurIPS 2025FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
- NeurIPS 2025FHGS: Feature-Homogenized Gaussian Splatting
- NeurIPS 2025Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining
- NeurIPS 2025Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
- NeurIPS 2025FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
- NeurIPS 2025FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
- NeurIPS 2025FIPER: Factorized Features for Robust Image Super-Resolution and Compression
- NeurIPS 2025Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
- NeurIPS 2025Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
- NeurIPS 2025Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
- NeurIPS 2025Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
- NeurIPS 2025FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
- NeurIPS 2025Flexible Realignment of Language Models
- NeurIPS 2025FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
- NeurIPS 2025FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
- NeurIPS 2025FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
- NeurIPS 2025FlySearch: Exploring how vision-language models explore
- NeurIPS 2025Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
- NeurIPS 2025FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering
- NeurIPS 2025FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
- NeurIPS 2025ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
- NeurIPS 2025ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
- NeurIPS 2025ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
- NeurIPS 2025Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
- NeurIPS 2025Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
- NeurIPS 2025Foundations of Top-$k$ Decoding for Language Models
- NeurIPS 2025Fourier Analysis Network
- NeurIPS 2025FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network
- NeurIPS 2025FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
- NeurIPS 2025Frequency-Aware Token Reduction for Efficient Vision Transformer
- NeurIPS 2025From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
- NeurIPS 2025From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
- NeurIPS 2025From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
- NeurIPS 2025From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
- NeurIPS 2025From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes
- NeurIPS 2025From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
- NeurIPS 2025From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
- NeurIPS 2025From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
- NeurIPS 2025FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
- NeurIPS 2025GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
- NeurIPS 2025GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
- NeurIPS 2025Gate to the Vessel: Residual Experts Restore What SAM Overlooks
- NeurIPS 2025Gatekeeper: Improving Model Cascades Through Confidence Tuning
- NeurIPS 2025GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything
- NeurIPS 2025Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
- NeurIPS 2025GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
- NeurIPS 2025Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
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。