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 11,207 篇，第 43 / 225 页
- ICLR 2026MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
- ICLR 2026MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
- ICLR 2026MMReD: a Cross-Modal Benchmark for Dense Context Reasoning
- ICLR 2026MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents
- ICLR 2026MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
- ICLR 2026MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
- ICLR 2026MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
- ICLR 2026MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
- ICLR 2026MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
- ICLR 2026MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning
- ICLR 2026MoCa: Modeling Object Consistency for 3D Camera Control in Video Generation
- ICLR 2026Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
- ICLR 2026Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?
- ICLR 2026Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds
- ICLR 2026Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
- ICLR 2026MoDr: Mixture-of-Depth-Recurrent Transformers for Test-Time Reasoning
- ICLR 2026MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs
- ICLR 2026MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context
- ICLR 2026MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
- ICLR 2026MoM: Linear Sequence Modeling with Mixture-of-Memories
- ICLR 2026MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning
- ICLR 2026MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE
- ICLR 2026MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition
- ICLR 2026Mordal: Automated Pretrained Model Selection for Vision Language Models
- ICLR 2026More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models
- ICLR 2026MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs
- ICLR 2026MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval
- ICLR 2026MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
- ICLR 2026MrRoPE: Mixed-radix Rotary Position Embedding
- ICLR 2026MSCR: Exploring the Vulnerability of LLMs’ Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement
- ICLR 2026MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
- ICLR 2026MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
- ICLR 2026Multi-Domain Transferable Graph Gluing for Building Graph Foundation Models
- ICLR 2026Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
- ICLR 2026Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis
- ICLR 2026MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models
- ICLR 2026Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching
- ICLR 2026Multimodal Classification via Total Correlation Maximization
- ICLR 2026Multimodal Dataset Distillation Made Simple by Prototype-guided Data Synthesis
- ICLR 2026Multimodal Dataset Distillation via Phased Teacher Models
- ICLR 2026Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
- ICLR 2026Multimodal Policy Internalization for Conversational Agents
- ICLR 2026Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
- ICLR 2026MULTIMODALITY AS SUPERVISION: SELF-SUPERVISED SPECIALIZATION TO THE TEST ENVIRONMENT VIA MULTIMODALITY
- ICLR 2026Multiple Token Divergence: Measuring and Steering In-Context Computation Density
- ICLR 2026MVR: Multi-view Video Reward Shaping for Reinforcement Learning
- ICLR 2026Naming to Learn: Class Incremental Learning for Vision-Language Model with Unlabeled Data
- ICLR 2026Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks
- ICLR 2026Natural Identifiers for Privacy and Data Audits in Large Language Models
- ICLR 2026Natural Language PDDL (NL-PDDL) for Open-world Goal-oriented Commonsense Regression Planning in Embodied AI
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。