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 2,676 篇，第 13 / 54 页
- ICLR 2026Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better
- ICLR 2026Latent Speech-Text Transformer
- ICLR 2026Latent Visual Reasoning
- ICLR 2026Latent-Guided Reasoning: Empowering Small LLMs with Large-Model Thinking
- ICLR 2026LatentQA: Teaching LLMs to Decode Activations Into Natural Language
- ICLR 2026Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
- ICLR 2026LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
- ICLR 2026LeanForPhysics: Comprehensive Reasoning Framework for University-level Physics in Lean4
- ICLR 2026Learned Meta-Tokens for Language Modeling
- ICLR 2026Learning an Image Editing Model without Image Editing Pairs
- ICLR 2026Learning Concept Bottleneck Models from Mechanistic Explanations
- ICLR 2026Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration
- ICLR 2026Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
- ICLR 2026Learning for Highly Faithful Explainability
- ICLR 2026Learning multimodal dictionary decompositions with group-sparse autoencoders
- ICLR 2026Learning Ordinal Probabilistic Reward from Preferences
- ICLR 2026Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation
- ICLR 2026Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork
- ICLR 2026Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding
- ICLR 2026Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
- ICLR 2026Learning-Time Encoding Shapes Unlearning in LLMs
- ICLR 2026LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models
- ICLR 2026LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR
- ICLR 2026LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models
- ICLR 2026LeSTD: LLM Compression via Learning-based Sparse Tensor Decomposition
- ICLR 2026Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
- ICLR 2026Let's (not) just put things in Context: Test-time Training for Long-context LLMs
- ICLR 2026Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding
- ICLR 2026Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
- ICLR 2026Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
- ICLR 2026Leveraging Pretrained Knowledge at Inference Time: LoRA-Gated Contrastive Decoding for Multilingual Factual Language Generation in Adapted LLMs
- ICLR 2026LEXam: Benchmarking Legal Reasoning on 340 Law Exams
- ICLR 2026Light of Normals: Unified Feature Representation for Universal Photometric Stereo
- ICLR 2026Lightweight Spatio-Temporal Modeling via Temporally Shifted Distillation for Real-Time Accident Anticipation
- ICLR 2026Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models
- ICLR 2026LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
- ICLR 2026LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
- ICLR 2026LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?
- ICLR 2026LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection
- ICLR 2026Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning
- ICLR 2026LiveClin: A Live Clinical Benchmark without Leakage
- ICLR 2026LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
- ICLR 2026LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
- ICLR 2026LLaVAction: evaluating and training multi-modal large language models for action understanding
- ICLR 2026LLM Pretraining with Continuous Concepts
- ICLR 2026LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments
- ICLR 2026LLMs Can Hide Text in Other Text of the Same Length
- ICLR 2026LLMs Get Lost In Multi-Turn Conversation
- ICLR 2026LLMs Must Think Thrice to Solve Executable Counterfactuals
- ICLR 2026LLMS ON TRIAL: Evaluating Judicial Fairness For Large 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。