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

每年论文数

各会议论文数

按年份和会议统计

多模态大模型论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234331381465091,226
20244463213236261,716
20251,0748163907953,075
20261,3661,4011,0511,3745,192

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

全部多模态大模型论文

共 11,207 篇,第 206 / 225 页

  1. CVPR 2023Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On
  2. CVPR 2023Local Connectivity-Based Density Estimation for Face Clustering
  3. CVPR 2023Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
  4. CVPR 2023LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
  5. CVPR 2023Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning
  6. CVPR 2023LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
  7. CVPR 2023LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection
  8. CVPR 2023LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression
  9. CVPR 2023MagicPony: Learning Articulated 3D Animals in the Wild
  10. CVPR 2023MAGVLT: Masked Generative Vision-and-Language Transformer
  11. CVPR 2023Making Vision Transformers Efficient From a Token Sparsification View
  12. CVPR 2023MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding
  13. CVPR 2023MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model
  14. CVPR 2023MaPLe: Multi-Modal Prompt Learning
  15. CVPR 2023MARLIN: Masked Autoencoder for Facial Video Representation LearnINg
  16. CVPR 2023Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations
  17. CVPR 2023Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors
  18. CVPR 2023MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
  19. CVPR 2023Masked and Adaptive Transformer for Exemplar Based Image Translation
  20. CVPR 2023Masked Autoencoding Does Not Help Natural Language Supervision at Scale
  21. CVPR 2023Masked Image Training for Generalizable Deep Image Denoising
  22. CVPR 2023Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
  23. CVPR 2023Masked Motion Encoding for Self-Supervised Video Representation Learning
  24. CVPR 2023Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
  25. CVPR 2023Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation
  26. CVPR 2023MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation
  27. CVPR 2023MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer
  28. CVPR 2023MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models
  29. CVPR 2023MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
  30. CVPR 2023Meta-Personalizing Vision-Language Models To Find Named Instances in Video
  31. CVPR 2023Metadata-Based RAW Reconstruction via Implicit Neural Functions
  32. CVPR 2023MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
  33. CVPR 2023MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering
  34. CVPR 2023MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
  35. CVPR 2023MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
  36. CVPR 2023MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning
  37. CVPR 2023MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
  38. CVPR 2023Mobile User Interface Element Detection via Adaptively Prompt Tuning
  39. CVPR 2023Modality-Invariant Visual Odometry for Embodied Vision
  40. CVPR 2023Model-Agnostic Gender Debiased Image Captioning
  41. CVPR 2023Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning
  42. CVPR 2023Modular Memorability: Tiered Representations for Video Memorability Prediction
  43. CVPR 2023MOSO: Decomposing MOtion, Scene and Object for Video Prediction
  44. CVPR 2023Motion Information Propagation for Neural Video Compression
  45. CVPR 2023MP-Former: Mask-Piloted Transformer for Image Segmentation
  46. CVPR 2023Multi-Modal Representation Learning With Text-Driven Soft Masks
  47. CVPR 2023Multilateral Semantic Relations Modeling for Image Text Retrieval
  48. CVPR 2023Multimodal Prompting With Missing Modalities for Visual Recognition
  49. CVPR 2023Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
  50. CVPR 2023Multiplicative Fourier Level of Detail

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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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