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 1,051 篇,第 1 / 22 页

  1. ICML 2026“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
  2. ICML 2026[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
  3. ICML 2026$\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant Function
  4. ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
  5. ICML 2026$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
  6. ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
  7. ICML 20263D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding
  8. ICML 20263ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
  9. ICML 2026A Bayesian Approach to Quantify the Uncertainty of Human Ratings in a Single-Instance Multimodal Framework
  10. ICML 2026A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language Models
  11. ICML 2026A Computational Framework for Evaluating Human-likeness in LLMs' Open-ended Human Behaviors
  12. ICML 2026A Generalist Pair-wise Progress Critic Model for Vision-Language-Action Robots
  13. ICML 2026A Progressive Evidence Localization Framework Based on Wasserstein Gradient Flows for Document Visual Question Answering
  14. ICML 2026A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
  15. ICML 2026A Robust Optimization Guided Pruning Framework for Vision and Large Language Models
  16. ICML 2026A robust PPG foundation model using multimodal physiological supervision
  17. ICML 2026A Very Big Video Reasoning Suite
  18. ICML 2026A²RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
  19. ICML 2026A3: an Analytical Low-Rank Approximation Framework for Attention
  20. ICML 2026ABCD: All Biases Come Disguised
  21. ICML 2026AC-ODM: Actor–Critic Online Data Mixing for Sample-Efficient LLM Pretraining
  22. ICML 2026Activation-Free Backbones for Image Recognition: Polynomial Alternatives within MetaFormer-Style Vision Models
  23. ICML 2026Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models
  24. ICML 2026Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
  25. ICML 2026ActiveScope: Actively Seeking and Correcting Perception for MLLMs
  26. ICML 2026AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning
  27. ICML 2026AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
  28. ICML 2026AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation
  29. ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
  30. ICML 2026Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision-Language Models
  31. ICML 2026Adaptive Time Series Reasoning via Segment Selection
  32. ICML 2026Adaptive Token Refinement in Long-Tailed Large Vision-Language Models Fine-Tuning
  33. ICML 2026ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion Reasoning
  34. ICML 2026Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
  35. ICML 2026Adversarial Training for Process Reward Models
  36. ICML 2026AesFormer: Transform Everyday Photos into Beautiful Memories
  37. ICML 2026AffIn-Space: Learning Affine-Invariant Representations for 3D Spatial Understanding with MLLMs
  38. ICML 2026Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
  39. ICML 2026AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs
  40. ICML 2026AIR-VLA: Vision-Language-Action Systems for Aerial Manipulation
  41. ICML 2026AIR: Post-training Data Selection for Reasoning via Attention Head Influence
  42. ICML 2026AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
  43. ICML 2026AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
  44. ICML 2026AlignedNorm: Prompting Vision–Language Models via Coupled Prompt Field
  45. ICML 2026Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs
  46. ICML 2026AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in Unified Multimodal Models via Decompositional Verifiable Reward
  47. ICML 2026Alterbute: Editing Intrinsic Attributes of Objects in Images
  48. ICML 2026An In-Depth Study on Deep Learning Model Cloning
  49. ICML 2026Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language Models
  50. ICML 2026ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models

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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