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 1,074 篇，第 10 / 22 页
- NeurIPS 2025JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
- NeurIPS 2025JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation
- NeurIPS 2025Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks
- NeurIPS 2025K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
- NeurIPS 2025Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
- NeurIPS 2025Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering
- NeurIPS 2025KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models
- NeurIPS 2025L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias
- NeurIPS 2025LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
- NeurIPS 2025Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need
- NeurIPS 2025Latent Chain-of-Thought for Visual Reasoning
- NeurIPS 2025LaViDa: A Large Diffusion Model for Vision-Language Understanding
- NeurIPS 2025LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
- NeurIPS 2025Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
- NeurIPS 2025Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
- NeurIPS 2025LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
- NeurIPS 2025LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
- NeurIPS 2025Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
- NeurIPS 2025Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors
- NeurIPS 2025Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
- NeurIPS 2025Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
- NeurIPS 2025Learning Robust Vision-Language Models from Natural Latent Spaces
- NeurIPS 2025Learning Shared Representations from Unpaired Data
- NeurIPS 2025Learning Skill-Attributes for Transferable Assessment in Video
- NeurIPS 2025Learning Spatial-Aware Manipulation Ordering
- NeurIPS 2025Learning to Instruct for Visual Instruction Tuning
- NeurIPS 2025Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
- NeurIPS 2025Learning to Steer: Input-dependent Steering for Multimodal LLMs
- NeurIPS 2025LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
- NeurIPS 2025Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior
- NeurIPS 2025Less is More: Local Intrinsic Dimensions of Contextual Language Models
- NeurIPS 2025Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
- NeurIPS 2025Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
- NeurIPS 2025Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
- NeurIPS 2025Linguini: A benchmark for language-agnostic linguistic reasoning
- NeurIPS 2025LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery
- NeurIPS 2025LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
- NeurIPS 2025LiveStar: Live Streaming Assistant for Real-World Online Video Understanding
- NeurIPS 2025LLM Query Scheduling with Prefix Reuse and Latency Constraints
- NeurIPS 2025LLMs Encode Harmfulness and Refusal Separately
- NeurIPS 2025LMFusion: Adapting Pretrained Language Models for Multimodal Generation
- NeurIPS 2025Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
- NeurIPS 2025Logic.py: Bridging the Gap between LLMs and Constraint Solvers
- NeurIPS 2025LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
- NeurIPS 2025LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
- NeurIPS 2025LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
- NeurIPS 2025Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
- NeurIPS 2025LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
- NeurIPS 2025LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
- NeurIPS 2025Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation
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。