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 390 篇，第 5 / 8 页
- ICML 2025Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
- ICML 2025LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
- ICML 2025LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers
- ICML 2025LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models
- ICML 2025M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
- ICML 2025MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
- ICML 2025MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
- ICML 2025Matryoshka Quantization
- ICML 2025MATS: An Audio Language Model under Text-only Supervision
- ICML 2025MedRAX: Medical Reasoning Agent for Chest X-ray
- ICML 2025MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
- ICML 2025MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
- ICML 2025Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
- ICML 2025Minimum Width for Universal Approximation using Squashable Activation Functions
- ICML 2025Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
- ICML 2025MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
- ICML 2025MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
- ICML 2025MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
- ICML 2025MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
- ICML 2025MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
- ICML 2025Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
- ICML 2025Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
- ICML 2025MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
- ICML 2025MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition
- ICML 2025MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
- ICML 2025MTSTRec: Multimodal Time-Aligned Shared Token Recommender
- ICML 2025MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
- ICML 2025Multimodal Medical Code Tokenizer
- ICML 2025MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
- ICML 2025NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
- ICML 2025NestQuant: nested lattice quantization for matrix products and LLMs
- ICML 2025Neural Encoding and Decoding at Scale
- ICML 2025NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
- ICML 2025Objective drives the consistency of representational similarity across datasets
- ICML 2025OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
- ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
- ICML 2025On the Duality between Gradient Transformations and Adapters
- ICML 2025On the Power of Context-Enhanced Learning in LLMs
- ICML 2025One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
- ICML 2025One-dimensional Path Convolution
- ICML 2025Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
- ICML 2025Open-Det: An Efficient Learning Framework for Open-Ended Detection
- ICML 2025OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
- ICML 2025Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
- ICML 2025Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
- ICML 2025Oscillation-Reduced MXFP4 Training for Vision Transformers
- ICML 2025OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
- ICML 2025Otter: Generating Tests from Issues to Validate SWE Patches
- ICML 2025Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
- ICML 2025OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition
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。