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 816 篇，第 12 / 17 页
- ICLR 2025PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
- ICLR 2025PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
- ICLR 2025PiCO: Peer Review in LLMs based on Consistency Optimization
- ICLR 2025Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
- ICLR 2025Planning in Natural Language Improves LLM Search for Code Generation
- ICLR 2025PolaFormer: Polarity-aware Linear Attention for Vision Transformers
- ICLR 2025Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
- ICLR 2025Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
- ICLR 2025PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
- ICLR 2025Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs
- ICLR 2025Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
- ICLR 2025Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
- ICLR 2025ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
- ICLR 2025Probabilistic Language-Image Pre-Training
- ICLR 2025Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
- ICLR 2025Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
- ICLR 2025Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
- ICLR 2025Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection
- ICLR 2025Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
- ICLR 2025Proxy Denoising for Source-Free Domain Adaptation
- ICLR 2025Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
- ICLR 2025QPM: Discrete Optimization for Globally Interpretable Image Classification
- ICLR 2025Quantifying Generalization Complexity for Large Language Models
- ICLR 2025Quantized Spike-driven Transformer
- ICLR 2025Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
- ICLR 2025R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
- ICLR 2025RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
- ICLR 2025Radar: Fast Long-Context Decoding for Any Transformer
- ICLR 2025RandLoRA: Full rank parameter-efficient fine-tuning of large models
- ICLR 2025Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
- ICLR 2025Ranking-aware adapter for text-driven image ordering with CLIP
- ICLR 2025Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
- ICLR 2025Re-Aligning Language to Visual Objects with an Agentic Workflow
- ICLR 2025Re-Imagining Multimodal Instruction Tuning: A Representation View
- ICLR 2025Real2Code: Reconstruct Articulated Objects via Code Generation
- ICLR 2025Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
- ICLR 2025ReAttention: Training-Free Infinite Context with Finite Attention Scope
- ICLR 2025Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
- ICLR 2025ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs
- ICLR 2025Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data
- ICLR 2025Reconstructive Visual Instruction Tuning
- ICLR 2025Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering
- ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
- ICLR 2025Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
- ICLR 2025ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
- ICLR 2025RegMix: Data Mixture as Regression for Language Model Pre-training
- ICLR 2025Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
- ICLR 2025REMEDY: Recipe Merging Dynamics in Large Vision-Language Models
- ICLR 2025Rethinking Invariance in In-context Learning
- ICLR 2025RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning
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。