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 51 / 104 页
- ICLR 2026Steering Autoregressive Music Generation with Recursive Feature Machines
- ICLR 2026Steering Embedding Models with Geometric Rotation: Mapping Semantic Relationships Across Languages and Models
- ICLR 2026Steering MoE LLMs via Expert (De)Activation
- ICLR 2026Steering the Herd: A Framework for LLM-based Control of Social Learning
- ICLR 2026STEM: SCALING TRANSFORMERS WITH EMBEDDING MODULES
- ICLR 2026Stochastic Neural Networks for Causal Inference with Missing Confounders
- ICLR 2026StochasTok: Improving Fine-Grained Subword Understanding in LLMs
- ICLR 2026Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs
- ICLR 2026StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
- ICLR 2026Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
- ICLR 2026Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
- ICLR 2026StreamingThinker: Large Language Models Can Think While Reading
- ICLR 2026StreamingVLM: Real-Time Understanding for Infinite Video Streams
- ICLR 2026String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
- ICLR 2026Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
- ICLR 2026Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs
- ICLR 2026STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement Learning
- ICLR 2026SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
- ICLR 2026Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
- ICLR 2026Supporting Multimodal Intermediate Fusion with Informatic Constraint and Distribution Coherence
- ICLR 2026SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs
- ICLR 2026SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
- ICLR 2026Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers
- ICLR 2026Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking
- ICLR 2026Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs
- ICLR 2026Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
- ICLR 2026Synthetic Bootstrapped Pretraining
- ICLR 2026Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs
- ICLR 2026TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
- ICLR 2026TABLET: A Large-Scale Dataset for Robust Visual Table Understanding
- ICLR 2026Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
- ICLR 2026Talking Points: Describing and Localizing Pixels
- ICLR 2026Taming Curvature: Architecture Warm-up for Stable Transformer Training
- ICLR 2026Taming Hierarchical Image Coding Optimization: A Spectral Regularization Perspective
- ICLR 2026Taming Polysemanticity in LLMs: Theory-Grounded Feature Recovery via Sparse Autoencoders
- ICLR 2026Taming the Fragility of KV Cache Eviction in LLM Inference
- ICLR 2026TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models
- ICLR 2026TangleScore: Tangle-Guided Purge and Imprint for Unstructured Knowledge Editing
- ICLR 2026TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video
- ICLR 2026Task-Aware Data Selection via Proxy-Label Enhanced Distribution Matching for LLM Finetuning
- ICLR 2026Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective
- ICLR 2026Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness
- ICLR 2026Teaching Metric Distance to Discrete Autoregressive Language Models
- ICLR 2026Teaching VLMs to Admit Uncertainty in OCR from Lossy Visual Inputs
- ICLR 2026Tell me Habibi, is it Real or Fake?
- ICLR 2026Tequila: Deadzone-free Ternary Quantization for Large Language Models
- ICLR 2026TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
- ICLR 2026Test-time Domain Generalization for Image Super-resolution
- ICLR 2026Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models
- ICLR 2026TEST-TIME SCALING IN DIFFUSION LLMS VIA HIDDEN SEMI-AUTOREGRESSIVE EXPERTS
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。