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 3,319 篇，第 58 / 67 页
- NeurIPS 2024Visual Perception by Large Language Model’s Weights
- NeurIPS 2024Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models
- NeurIPS 2024Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
- NeurIPS 2024Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
- NeurIPS 2024VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
- NeurIPS 2024VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
- NeurIPS 2024VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
- NeurIPS 2024VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
- NeurIPS 2024VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
- NeurIPS 2024Voila-A: Aligning Vision-Language Models with User's Gaze Attention
- NeurIPS 2024Vript: A Video Is Worth Thousands of Words
- NeurIPS 2024VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
- NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
- NeurIPS 2024Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
- NeurIPS 2024Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
- NeurIPS 2024Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
- NeurIPS 2024WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
- NeurIPS 2024WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
- NeurIPS 2024What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
- NeurIPS 2024What matters when building vision-language models?
- NeurIPS 2024What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction
- NeurIPS 2024When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
- NeurIPS 2024Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
- NeurIPS 2024WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games
- NeurIPS 2024Why are Visually-Grounded Language Models Bad at Image Classification?
- NeurIPS 2024WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models
- NeurIPS 2024WikiDO: Evaluating Out-of-Distribution Generalization of Vision-Language Models in Cross-Modal Retrieval
- NeurIPS 2024WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
- NeurIPS 2024WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
- NeurIPS 2024WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
- NeurIPS 2024Wings: Learning Multimodal LLMs without Text-only Forgetting
- NeurIPS 2024WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks
- NeurIPS 2024WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
- NeurIPS 2024XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
- NeurIPS 2024Yo'LLaVA: Your Personalized Language and Vision Assistant
- NeurIPS 2024Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection
- NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
- NeurIPS 20234M: Massively Multimodal Masked Modeling
- NeurIPS 2023A case for reframing automated medical image classification as segmentation
- NeurIPS 2023A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
- NeurIPS 2023A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem
- NeurIPS 2023A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
- NeurIPS 2023A Theory of Multimodal Learning
- NeurIPS 2023A Unified Framework for U-Net Design and Analysis
- NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
- NeurIPS 2023Active Reasoning in an Open-World Environment
- NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
- NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
- NeurIPS 2023AiluRus: A Scalable ViT Framework for Dense Prediction
- NeurIPS 2023AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
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。