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 57 / 104 页
- ICML 2026AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation
- ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
- ICML 2026Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision-Language Models
- ICML 2026Adaptive Time Series Reasoning via Segment Selection
- ICML 2026Adaptive Token Refinement in Long-Tailed Large Vision-Language Models Fine-Tuning
- ICML 2026ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion Reasoning
- ICML 2026Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
- ICML 2026Adversarial Training for Process Reward Models
- ICML 2026AesFormer: Transform Everyday Photos into Beautiful Memories
- ICML 2026AffIn-Space: Learning Affine-Invariant Representations for 3D Spatial Understanding with MLLMs
- ICML 2026Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
- ICML 2026AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs
- ICML 2026AIR-VLA: Vision-Language-Action Systems for Aerial Manipulation
- ICML 2026AIR: Post-training Data Selection for Reasoning via Attention Head Influence
- ICML 2026AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
- ICML 2026AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
- ICML 2026AlignedNorm: Prompting Vision–Language Models via Coupled Prompt Field
- ICML 2026Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs
- ICML 2026AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in Unified Multimodal Models via Decompositional Verifiable Reward
- ICML 2026Alterbute: Editing Intrinsic Attributes of Objects in Images
- ICML 2026An In-Depth Study on Deep Learning Model Cloning
- ICML 2026Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language Models
- ICML 2026ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
- ICML 2026AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
- ICML 2026Antidistillation Fingerprinting
- ICML 2026Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds
- ICML 2026AnyCanvas: Potential Field Guidance for Training-Free Spatial Control in Text-to-Image Diffusion
- ICML 2026AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
- ICML 2026AOEB: Benchmarking Agent-Oriented Multimodal Embeddings
- ICML 2026AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality-Missing Prompt Tuning
- ICML 2026API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment Analysis
- ICML 2026ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning
- ICML 2026ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
- ICML 2026Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
- ICML 2026Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
- ICML 2026Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
- ICML 2026Ask Less, See More: Communication-Conditioned Token Pruning for Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
- ICML 2026ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models
- ICML 2026Attacking Gray-Box Large Vision-Language Models with Adaptive SVD-Structured Adversarial Alignment
- ICML 2026Attend to Anything: Foundation Model for Unified Human Attention Modeling
- ICML 2026Attention with Routed-Memory for Learnable Sparse Control
- ICML 2026Attentive Multi-Layer Fusion for Vision Transformers
- ICML 2026AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving
- ICML 2026AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
- ICML 2026Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMs
- ICML 2026AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture -of-Transformers for End-to-End Autonomous Driving
- ICML 2026AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic
- ICML 2026AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
- ICML 2026Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
- ICML 2026BabyVision: Visual Reasoning Beyond Language
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。