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 509 篇,第 10 / 11 页

  1. CVPR 2023Task Residual for Tuning Vision-Language Models
  2. CVPR 2023Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
  3. CVPR 2023Teaching Structured Vision & Language Concepts to Vision & Language Models
  4. CVPR 2023Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation
  5. CVPR 2023Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
  6. CVPR 2023Texts as Images in Prompt Tuning for Multi-Label Image Recognition
  7. CVPR 2023The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
  8. CVPR 2023TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
  9. CVPR 2023TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models
  10. CVPR 2023Top-Down Visual Attention From Analysis by Synthesis
  11. CVPR 2023TopNet: Transformer-Based Object Placement Network for Image Compositing
  12. CVPR 2023Toward Accurate Post-Training Quantization for Image Super Resolution
  13. CVPR 2023Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
  14. CVPR 2023Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
  15. CVPR 2023Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method
  16. CVPR 2023Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval
  17. CVPR 2023Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
  18. CVPR 2023Towards Scalable Neural Representation for Diverse Videos
  19. CVPR 2023Towards Universal Fake Image Detectors That Generalize Across Generative Models
  20. CVPR 2023Train-Once-for-All Personalization
  21. CVPR 2023Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer
  22. CVPR 2023TransFlow: Transformer As Flow Learner
  23. CVPR 2023Trap Attention: Monocular Depth Estimation With Manual Traps
  24. CVPR 2023Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
  25. CVPR 2023TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization
  26. CVPR 2023Two-View Geometry Scoring Without Correspondences
  27. CVPR 2023ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
  28. CVPR 2023Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity
  29. CVPR 2023Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
  30. CVPR 2023Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization
  31. CVPR 2023Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
  32. CVPR 2023Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge
  33. CVPR 2023Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
  34. CVPR 2023Unifying Vision, Text, and Layout for Universal Document Processing
  35. CVPR 2023Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
  36. CVPR 2023Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
  37. CVPR 2023Video Event Restoration Based on Keyframes for Video Anomaly Detection
  38. CVPR 2023Video Test-Time Adaptation for Action Recognition
  39. CVPR 2023VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining
  40. CVPR 2023VindLU: A Recipe for Effective Video-and-Language Pretraining
  41. CVPR 2023Virtual Sparse Convolution for Multimodal 3D Object Detection
  42. CVPR 2023Vision Transformers Are Good Mask Auto-Labelers
  43. CVPR 2023Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves
  44. CVPR 2023Visual Programming: Compositional Visual Reasoning Without Training
  45. CVPR 2023Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
  46. CVPR 2023Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery
  47. CVPR 2023Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting
  48. CVPR 2023ViTs for SITS: Vision Transformers for Satellite Image Time Series
  49. CVPR 2023VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
  50. CVPR 2023VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval

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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