多模态大模型论文趋势 2023–2026

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。

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 2,676 篇，第 2 / 54 页

51. ICLR 2026Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration
52. ICLR 2026Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
53. ICLR 2026Any-Order Any-Subset AutoRegressive Model
54. ICLR 2026AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs
55. ICLR 2026Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
56. ICLR 2026ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
57. ICLR 2026ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
58. ICLR 2026Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement
59. ICLR 2026ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging
60. ICLR 2026ASTRAEA: A Token-wise Acceleration Framework for Video Diffusion Transformers
61. ICLR 2026Asynchronous Matching with Dynamic Sampling for Multimodal Dataset Distillation
62. ICLR 2026Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following
63. ICLR 2026Attention Is All You Need for KV Cache in Diffusion LLMs
64. ICLR 2026Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
65. ICLR 2026Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
66. ICLR 2026AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image Understanding
67. ICLR 2026AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory
68. ICLR 2026AutoCode: LLMs as Problem Setters for Competitive Programming
69. ICLR 2026Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
70. ICLR 2026AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild
71. ICLR 2026AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning
72. ICLR 2026Automated Stateful Specialization for Adaptive Agent Systems
73. ICLR 2026Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies
74. ICLR 2026Automatic Image-Level Morphological Trait Annotation for Organismal Images
75. ICLR 2026Autonomous Play with Correspondence-Driven Trajectory Warping
76. ICLR 2026AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
77. ICLR 2026AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization
78. ICLR 2026Avey-B
79. ICLR 2026BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change
80. ICLR 2026BaseReward: A Strong Baseline for Multimodal Reward Model
81. ICLR 2026Batch Pruning by Activation Stability
82. ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
83. ICLR 2026BBQ: Boosting Quantization Entropy with Bell Box Quantization
84. ICLR 2026Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
85. ICLR 2026BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
86. ICLR 2026BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
87. ICLR 2026Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
88. ICLR 2026Benchmarking ECG Foundational Models: A Reality Check Across Clinical Tasks
89. ICLR 2026Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation
90. ICLR 2026Benchmarking Overton Pluralism in LLMs
91. ICLR 2026Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
92. ICLR 2026Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
93. ICLR 2026Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
94. ICLR 2026Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
95. ICLR 2026Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
96. ICLR 2026Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
97. ICLR 2026Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
98. ICLR 2026Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks
99. ICLR 2026Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
100. ICLR 2026Beyond Outliers: A Study of Optimizers Under Quantization

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。