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 5,190 篇，第 97 / 104 页
- NeurIPS 2026Region-Normalized DPO for Medical Image Segmentation
- NeurIPS 2026Reinforcing Multimodal Reasoning Against Visual Degradation
- NeurIPS 2026Relaxed On-Policy Distillation: Selective Credit Allocation for Scaling Reasoning Efficiently
- NeurIPS 2026Relevance Is Not Necessity: Selecting the Necessary API Set for Tool-Using LLMs
- NeurIPS 2026Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees
- NeurIPS 2026Remembering What Matters: From Markovian to Subtask-Causal Memory in VLA Policies
- NeurIPS 2026RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models
- NeurIPS 2026Representation Forcing for Bottleneck-Free Unified Multimodal Models
- NeurIPS 2026Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
- NeurIPS 2026ReSMap: Recasting Satellite Priors for Robust and Accurate Online HD Map Construction
- NeurIPS 2026Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching
- NeurIPS 2026Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
- NeurIPS 2026Rethinking in Spikes: Mitigating Hallucinations in MDLMs with Step-Aware Decoding
- NeurIPS 2026Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency
- NeurIPS 2026Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
- NeurIPS 2026Rethinking Projector Training in Multimodal LLMs
- NeurIPS 2026Rethinking Softmax Attention: Polynomial Activations for Transformers
- NeurIPS 2026Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
- NeurIPS 2026Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information
- NeurIPS 2026Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking
- NeurIPS 2026Revealing the Gap in Human and VLM Scene Perception through Counterfactual Semantic Saliency
- NeurIPS 2026Revisiting Autoregressive GCNs for Vehicle Routing Problems
- NeurIPS 2026Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios
- NeurIPS 2026RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents
- NeurIPS 2026RILA: A Radar-Native Structured Interface from Sparse mmWave Point Clouds to Large Language Models
- NeurIPS 2026RISE: Red-teaming via Iterative Strategy Evolution for Modern Text-to-Image Models
- NeurIPS 2026RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
- NeurIPS 2026RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models
- NeurIPS 2026RoboExo: Structure-Guided Wrist-to-Exocentric Video Generation for Scalable Robot Learning
- NeurIPS 2026Robust and Efficient Finetuning of Vision Foundation Models via Implicit Ensembling
- NeurIPS 2026Robust Task-Aware State Estimation from Pre-trained Perception
- NeurIPS 2026Robustness of Internal Signals for Hallucination Detection in Vision-Language Models
- NeurIPS 2026ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models
- NeurIPS 2026RoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning
- NeurIPS 2026RotVLA: Rotational Latent Action for Vision-Language-Action Model
- NeurIPS 2026Routeability Before Routing: Routeability Audit Protocol (RAP) and RouteabilityBench for Audited LLM Model Selection
- NeurIPS 2026RPFQ-ViT: Rotated Phase-Frame Quantization for Extremely Low-Bit Weights in Vision Transformers
- NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving
- NeurIPS 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-𝑁 Ranking
- NeurIPS 2026RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
- NeurIPS 2026S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
- NeurIPS 2026S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
- NeurIPS 2026s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs
- NeurIPS 2026Safe in Its Own Words: Self-Guided Safety Alignment for Multimodal Reasoning Models
- NeurIPS 2026SAFE-Hair: Scalp-Anchored Fields for Exportable Single-View Hair Reconstruction
- NeurIPS 2026SafeDrug: A Benchmark Dataset for Safety-Critical Pharmacological Reasoning in LLMs
- NeurIPS 2026Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
- NeurIPS 2026Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
- NeurIPS 2026SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design
- NeurIPS 2026SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance
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。