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 2,676 篇,第 10 / 54 页

  1. ICLR 2026GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
  2. ICLR 2026Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion
  3. ICLR 2026Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
  4. ICLR 2026GneissWeb: Preparing High Quality Data for LLMs at Scale
  5. ICLR 2026GNN-as-Judge: Unleashing the Power of LLMs for Graph Few-shot Semi-supervised Learning with GNN Feedback
  6. ICLR 2026Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
  7. ICLR 2026GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning
  8. ICLR 2026GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
  9. ICLR 2026GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
  10. ICLR 2026GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
  11. ICLR 2026GradPruner: Gradient-guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs
  12. ICLR 2026GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction
  13. ICLR 2026GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs
  14. ICLR 2026Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
  15. ICLR 2026Graph Tokenization for Bridging Graphs and Transformers
  16. ICLR 2026GraphShield: Graph-Theoretic Modeling of Network-Level Dynamics for Robust Jailbreak Detection
  17. ICLR 2026Grasp Any Region: Prompting MLLM to Understand the Dense World
  18. ICLR 2026Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-Language Navigation
  19. ICLR 2026Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI
  20. ICLR 2026Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation
  21. ICLR 2026Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment
  22. ICLR 2026GTA1: GUI Test-time Scaling Agent
  23. ICLR 2026GTool: Graph Enhanced Tool Planning with Large Language Model
  24. ICLR 2026GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models
  25. ICLR 2026GuardAlign: Robust Safety Alignment in Multimodal Large Language Models
  26. ICLR 2026GUI-Shift: Enhancing VLM-Based GUI Agents through Self-supervised Reinforcement Learning
  27. ICLR 2026Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
  28. ICLR 2026Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
  29. ICLR 2026GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
  30. ICLR 2026Guiding Mixture-of-Experts with Temporal Multimodal Interactions
  31. ICLR 2026Hallucination Begins Where Saliency Drops
  32. ICLR 2026Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
  33. ICLR 2026Hallucination-aware Intermediate Representation Editing in Large Vision-Lanugage Models
  34. ICLR 2026HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
  35. ICLR 2026HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy
  36. ICLR 2026Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization
  37. ICLR 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in LLMs
  38. ICLR 2026HARP: Hallucination Detection via Reasoning Subspace Projection
  39. ICLR 2026HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
  40. ICLR 2026HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
  41. ICLR 2026Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs
  42. ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  43. ICLR 2026HFSTI-Net: Hierarchical Frequency-spatial-temporal Interactions for Video Polyp Segmentation
  44. ICLR 2026HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
  45. ICLR 2026HiddenEcho: Mitigating Noise Amplification in Differentially Private LLMs with Hidden-State Correction
  46. ICLR 2026HiDivDrop: Vision Token Reduction in MLLMs via Late Injection and Differentiable Top-K
  47. ICLR 2026Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
  48. ICLR 2026HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation
  49. ICLR 2026High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
  50. ICLR 2026Highly Efficient and Effective LLMs with Multi-Boolean Architectures

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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