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 11,207 篇，第 186 / 225 页
- ICML 2024BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
- ICML 2024BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation
- ICML 2024Borda Regret Minimization for Generalized Linear Dueling Bandits
- ICML 2024Bridging Environments and Language with Rendering Functions and Vision-Language Models
- ICML 2024By Tying Embeddings You Are Assuming the Distributional Hypothesis
- ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
- ICML 2024Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
- ICML 2024CARTE: Pretraining and Transfer for Tabular Learning
- ICML 2024Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
- ICML 2024Case-Based or Rule-Based: How Do Transformers Do the Math?
- ICML 2024Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
- ICML 2024CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
- ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
- ICML 2024COALA: A Practical and Vision-Centric Federated Learning Platform
- ICML 2024Code as Reward: Empowering Reinforcement Learning with VLMs
- ICML 2024COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
- ICML 2024Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
- ICML 2024Compositional Curvature Bounds for Deep Neural Networks
- ICML 2024Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
- ICML 2024Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
- ICML 2024ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
- ICML 2024Copyright Traps for Large Language Models
- ICML 2024Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
- ICML 2024CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
- ICML 2024CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
- ICML 2024CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
- ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
- ICML 2024Debating with More Persuasive LLMs Leads to More Truthful Answers
- ICML 2024DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
- ICML 2024Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
- ICML 2024Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
- ICML 2024DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
- ICML 2024Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
- ICML 2024Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
- ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
- ICML 2024diff History for Neural Language Agents
- ICML 2024Differentially private exact recovery for stochastic block models
- ICML 2024Differentially Private Representation Learning via Image Captioning
- ICML 2024Distinguishing the Knowable from the Unknowable with Language Models
- ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
- ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
- ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
- ICML 2024Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
- ICML 2024Efficient Exploration for LLMs
- ICML 2024Eluder-based Regret for Stochastic Contextual MDPs
- ICML 2024Emergent Equivariance in Deep Ensembles
- ICML 2024Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models
- ICML 2024Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
- ICML 2024Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
- ICML 2024ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
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。