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 45 / 54 页
- ICLR 2025What Makes a Maze Look Like a Maze?
- ICLR 2025What to align in multimodal contrastive learning?
- ICLR 2025When Attention Sink Emerges in Language Models: An Empirical View
- ICLR 2025When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
- ICLR 2025Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
- ICLR 2025Why Does the Effective Context Length of LLMs Fall Short?
- ICLR 2025WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
- ICLR 2025WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
- ICLR 2025X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing
- ICLR 2025xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
- ICLR 2025YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
- ICLR 2025You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
- ICLR 2025Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
- ICLR 2025Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
- ICLR 2025ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
- ICLR 2025ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
- ICLR 2025ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
- ICLR 2024#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
- ICLR 2024$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
- ICLR 20243D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
- ICLR 2024A Benchmark for Learning to Translate a New Language from One Grammar Book
- ICLR 2024A Foundation Model for Error Correction Codes
- ICLR 2024A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
- ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
- ICLR 2024A Simple and Effective Pruning Approach for Large Language Models
- ICLR 2024A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
- ICLR 2024A unique M-pattern for micro-expression spotting in long videos
- ICLR 2024Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
- ICLR 2024Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
- ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
- ICLR 2024Adversarial AutoMixup
- ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
- ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
- ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
- ICLR 2024An Extensible Framework for Open Heterogeneous Collaborative Perception
- ICLR 2024An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
- ICLR 2024An interpretable error correction method for enhancing code-to-code translation
- ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
- ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
- ICLR 2024Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
- ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
- ICLR 2024AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
- ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
- ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
- ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
- ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
- ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
- ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
- ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
- ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
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。