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 29 / 225 页
- ICLR 2026ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
- ICLR 2026AdAEM: An Adaptively and Automated Extensible Evaluation Method of LLMs' Value Difference
- ICLR 2026Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
- ICLR 2026Adaptive Logit Adjustment for Debiasing Multimodal Language Models
- ICLR 2026AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
- ICLR 2026AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
- ICLR 2026Advancing Complex Video Object Segmentation via Progressive Concept Construction
- ICLR 2026Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models
- ICLR 2026AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions
- ICLR 2026AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
- ICLR 2026Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
- ICLR 2026Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance
- ICLR 2026ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization
- ICLR 2026AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution
- ICLR 2026AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation
- ICLR 2026An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models
- ICLR 2026An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
- ICLR 2026An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLM
- ICLR 2026Analyzing the Training Dynamics of Image Restoration Transformers: A Revisit to Layer Normalization
- ICLR 2026Anatomy-aware Representation Learning for Medical Ultrasound
- ICLR 2026Anchor Frame Bridging for Coherent First-Last Frame Video Generation
- ICLR 2026AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs
- ICLR 2026Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration
- ICLR 2026Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
- ICLR 2026Any-Order Any-Subset AutoRegressive Model
- ICLR 2026AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs
- ICLR 2026Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
- ICLR 2026ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
- ICLR 2026ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
- ICLR 2026Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement
- ICLR 2026ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging
- ICLR 2026ASTRAEA: A Token-wise Acceleration Framework for Video Diffusion Transformers
- ICLR 2026Asynchronous Matching with Dynamic Sampling for Multimodal Dataset Distillation
- ICLR 2026Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following
- ICLR 2026Attention Is All You Need for KV Cache in Diffusion LLMs
- ICLR 2026Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
- ICLR 2026Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
- ICLR 2026AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image Understanding
- ICLR 2026AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory
- ICLR 2026AutoCode: LLMs as Problem Setters for Competitive Programming
- ICLR 2026Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
- ICLR 2026AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild
- ICLR 2026AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning
- ICLR 2026Automated Stateful Specialization for Adaptive Agent Systems
- ICLR 2026Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies
- ICLR 2026Automatic Image-Level Morphological Trait Annotation for Organismal Images
- ICLR 2026Autonomous Play with Correspondence-Driven Trajectory Warping
- ICLR 2026AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
- ICLR 2026AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization
- ICLR 2026Avey-B
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。