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 17 / 22 页
- NeurIPS 2025Scaling RL to Long Videos
- NeurIPS 2025SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning
- NeurIPS 2025SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
- NeurIPS 2025SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions
- NeurIPS 2025scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling
- NeurIPS 2025Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
- NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
- NeurIPS 2025scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
- NeurIPS 2025scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy
- NeurIPS 2025SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models
- NeurIPS 2025SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
- NeurIPS 2025Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins
- NeurIPS 2025See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
- NeurIPS 2025Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization
- NeurIPS 2025Seeing the Arrow of Time in Large Multimodal Models
- NeurIPS 2025Seeking and Updating with Live Visual Knowledge
- NeurIPS 2025SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning
- NeurIPS 2025Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
- NeurIPS 2025Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
- NeurIPS 2025Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents
- NeurIPS 2025Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens
- NeurIPS 2025Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
- NeurIPS 2025SensorLM: Learning the Language of Wearable Sensors
- NeurIPS 2025SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery
- NeurIPS 2025Set-LLM: A Permutation-Invariant LLM
- NeurIPS 2025ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
- NeurIPS 2025SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes
- NeurIPS 2025Sherlock: Self-Correcting Reasoning in Vision-Language Models
- NeurIPS 2025SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation
- NeurIPS 2025ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
- NeurIPS 2025Show-o2: Improved Native Unified Multimodal Models
- NeurIPS 2025Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse
- NeurIPS 2025Simple and Optimal Sublinear Algorithms for Mean Estimation
- NeurIPS 2025SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds
- NeurIPS 2025Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
- NeurIPS 2025Single-pass Adaptive Image Tokenization for Minimum Program Search
- NeurIPS 2025Sinusoidal Initialization, Time for a New Start
- NeurIPS 2025Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model
- NeurIPS 2025SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
- NeurIPS 2025Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation is Wasteful
- NeurIPS 2025SMMILE: An expert-driven benchmark for multimodal medical in-context learning
- NeurIPS 2025SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
- NeurIPS 2025Smooth Regularization for Efficient Video Recognition
- NeurIPS 2025SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
- NeurIPS 2025SolidGeo: Measuring Multimodal Spatial Math Reasoning in Solid Geometry
- NeurIPS 2025SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions
- NeurIPS 2025SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
- NeurIPS 2025SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs
- NeurIPS 2025Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
- NeurIPS 2025Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
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。