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 1,910 篇，第 35 / 39 页
- ICML 2024RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
- ICML 2024RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
- ICML 2024Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
- ICML 2024Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
- ICML 2024Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
- ICML 2024SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
- ICML 2024Sample Complexity Bounds for Estimating Probability Divergences under Invariances
- ICML 2024Scalable Pre-training of Large Autoregressive Image Models
- ICML 2024SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
- ICML 2024Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
- ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
- ICML 2024SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
- ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
- ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
- ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
- ICML 2024Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
- ICML 2024Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
- ICML 2024SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
- ICML 2024SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
- ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
- ICML 2024Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
- ICML 2024Statistical Test for Attention Maps in Vision Transformers
- ICML 2024Stereographic Spherical Sliced Wasserstein Distances
- ICML 2024StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis
- ICML 2024Structured Chemistry Reasoning with Large Language Models
- ICML 2024Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
- ICML 2024SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
- ICML 2024Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
- ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
- ICML 2024Tandem Transformers for Inference Efficient LLMs
- ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
- ICML 2024Thermometer: Towards Universal Calibration for Large Language Models
- ICML 2024tinyBenchmarks: evaluating LLMs with fewer examples
- ICML 2024tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
- ICML 2024To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
- ICML 2024To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
- ICML 2024Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
- ICML 2024Toward Adaptive Reasoning in Large Language Models with Thought Rollback
- ICML 2024Towards Certified Unlearning for Deep Neural Networks
- ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
- ICML 2024Triple Changes Estimator for Targeted Policies
- ICML 2024TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
- ICML 2024TVE: Learning Meta-attribution for Transferable Vision Explainer
- ICML 2024Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
- ICML 2024Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
- ICML 2024Understanding Unimodal Bias in Multimodal Deep Linear Networks
- ICML 2024Unifying Image Processing as Visual Prompting Question Answering
- ICML 2024Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
- ICML 2024Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
- ICML 2024Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
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。