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 35 / 225 页
- ICLR 2026EgoTwin: Dreaming Body and View in First Person
- ICLR 2026ELEPHANT: Measuring and understanding social sycophancy in LLMs
- ICLR 2026Eliciting Numerical Predictive Distributions of LLMs Without Auto-Regression
- ICLR 2026Embodied Navigation Foundation Model
- ICLR 2026Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
- ICLR 2026Emergent Discrete Controller Modules for Symbolic Planning in Transformers
- ICLR 2026EmoPrefer: Can Large Language Models Understand Human Emotion Preferences?
- ICLR 2026EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models
- ICLR 2026EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
- ICLR 2026Empowering Small VLMs to Think with Dynamic Memorization and Exploration
- ICLR 2026Enabling True Global Perception in State Space Models for Visual Tasks
- ICLR 2026Enabling Your Forensic Detector Know How Well It Performs on Distorted Samples
- ICLR 2026ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
- ICLR 2026Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World
- ICLR 2026Enhanced Continual Learning of Vision-Language Models with Model Fusion
- ICLR 2026Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement Learning
- ICLR 2026Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
- ICLR 2026Enhancing LLMs for Knowledge Base Question Answering by Chain-of-Decomposition
- ICLR 2026Enhancing Multi-Image Understanding through Delimiter Token Scaling
- ICLR 2026Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection
- ICLR 2026Enhancing Visual Token Representations for Video Large Language Models via Training-free Spatial-Temporal Pooling and Gridding
- ICLR 2026Entropy-Based Block Pruning for Efficient Large Language Models
- ICLR 2026Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding
- ICLR 2026Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression
- ICLR 2026EntropyLong: Effective Long-Context Training via Predictive Uncertainty
- ICLR 2026Equilibrium Language Models
- ICLR 2026Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
- ICLR 2026ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
- ICLR 2026Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
- ICLR 2026ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
- ICLR 2026Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization
- ICLR 2026Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
- ICLR 2026Evaluating Cross-Modal Reasoning Ability and Problem Charactaristics with Multimodal Item Response Theory
- ICLR 2026EventFlash: Towards Efficient MLLMs for Event-Based Vision
- ICLR 2026Evidence for Limited Metacognition in LLMs
- ICLR 2026EVLP: Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning
- ICLR 2026Evolution and compression in LLMs: on the emergence of human-aligned categorization
- ICLR 2026Expert Divergence Learning for MoE-based Language Models
- ICLR 2026Expert Heads: Robust Evidence Identification for Large Language Models
- ICLR 2026Expert Merging in Sparse Mixture of Experts with Nash Bargaining
- ICLR 2026Explainable LLM Unlearning through Reasoning
- ICLR 2026Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification
- ICLR 2026Exploring Cross-Modal Flows for Few-Shot Learning
- ICLR 2026Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
- ICLR 2026Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
- ICLR 2026Exploring the Basin-Like Loss Landscape in Large Language Models
- ICLR 2026ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
- ICLR 2026Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
- ICLR 2026Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
- ICLR 2026Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
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。