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 390 篇,第 3 / 8 页

  1. ICML 2025Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
  2. ICML 2025Enhancing Target-unspecific Tasks through a Features Matrix
  3. ICML 2025EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
  4. ICML 2025ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models
  5. ICML 2025Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
  6. ICML 2025Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
  7. ICML 2025Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models
  8. ICML 2025Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
  9. ICML 2025Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
  10. ICML 2025Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
  11. ICML 2025FairPFN: A Tabular Foundation Model for Causal Fairness
  12. ICML 2025Fast Exact Unlearning for In-Context Learning Data for LLMs
  13. ICML 2025FeatSharp: Your Vision Model Features, Sharper
  14. ICML 2025Feature out! Let Raw Image as Your Condition for Blind Face Restoration
  15. ICML 2025Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
  16. ICML 2025FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
  17. ICML 2025FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
  18. ICML 2025FG-CLIP: Fine-Grained Visual and Textual Alignment
  19. ICML 2025Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
  20. ICML 2025FLAM: Frame-Wise Language-Audio Modeling
  21. ICML 2025FlipAttack: Jailbreak LLMs via Flipping
  22. ICML 2025Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency
  23. ICML 2025Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  24. ICML 2025FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
  25. ICML 2025Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
  26. ICML 2025Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
  27. ICML 2025FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
  28. ICML 2025Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
  29. ICML 2025From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
  30. ICML 2025From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
  31. ICML 2025From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
  32. ICML 2025From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
  33. ICML 2025Function-to-Style Guidance of LLMs for Code Translation
  34. ICML 2025Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
  35. ICML 2025Gandalf the Red: Adaptive Security for LLMs
  36. ICML 2025GaussMark: A Practical Approach for Structural Watermarking of Language Models
  37. ICML 2025Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
  38. ICML 2025Generative Data Mining with Longtail-Guided Diffusion
  39. ICML 2025GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing
  40. ICML 2025GMAIL: Generative Modality Alignment for generated Image Learning
  41. ICML 2025GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning
  42. ICML 2025Gradient Inversion of Multimodal Models
  43. ICML 2025Grammar-Forced Translation of Natural Language to Temporal Logic using LLMs
  44. ICML 2025Graph4MM: Weaving Multimodal Learning with Structural Information
  45. ICML 2025GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
  46. ICML 2025GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
  47. ICML 2025GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
  48. ICML 2025GSM-$\infty$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?
  49. ICML 2025HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training
  50. ICML 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin

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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