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 8 / 54 页

  1. ICLR 2026Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding
  2. ICLR 2026Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression
  3. ICLR 2026EntropyLong: Effective Long-Context Training via Predictive Uncertainty
  4. ICLR 2026Equilibrium Language Models
  5. ICLR 2026Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
  6. ICLR 2026ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
  7. ICLR 2026Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
  8. ICLR 2026ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
  9. ICLR 2026Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization
  10. ICLR 2026Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
  11. ICLR 2026Evaluating Cross-Modal Reasoning Ability and Problem Charactaristics with Multimodal Item Response Theory
  12. ICLR 2026EventFlash: Towards Efficient MLLMs for Event-Based Vision
  13. ICLR 2026Evidence for Limited Metacognition in LLMs
  14. ICLR 2026EVLP: Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning
  15. ICLR 2026Evolution and compression in LLMs: on the emergence of human-aligned categorization
  16. ICLR 2026Expert Divergence Learning for MoE-based Language Models
  17. ICLR 2026Expert Heads: Robust Evidence Identification for Large Language Models
  18. ICLR 2026Expert Merging in Sparse Mixture of Experts with Nash Bargaining
  19. ICLR 2026Explainable LLM Unlearning through Reasoning
  20. ICLR 2026Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification
  21. ICLR 2026Exploring Cross-Modal Flows for Few-Shot Learning
  22. ICLR 2026Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
  23. ICLR 2026Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
  24. ICLR 2026Exploring the Basin-Like Loss Landscape in Large Language Models
  25. ICLR 2026ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
  26. ICLR 2026Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
  27. ICLR 2026Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
  28. ICLR 2026Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
  29. ICLR 2026FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning
  30. ICLR 2026Falcon: Fast Proximal Linearization of Normalized Cuts for Unsupervised Image Segmentation
  31. ICLR 2026Fantastic Tractor-Dogs and How Not to Find Them With Open-Vocabulary Detectors
  32. ICLR 2026FASA: FREQUENCY-AWARE SPARSE ATTENTION
  33. ICLR 2026Fast Data Mixture Optimization via Gradient Descent
  34. ICLR 2026FaSTA*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing
  35. ICLR 2026Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge
  36. ICLR 2026Faster Vision Transformers with Adaptive Patches
  37. ICLR 2026FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-wise Decoding
  38. ICLR 2026Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning
  39. ICLR 2026FETAL-GAUGE: A BENCHMARK FOR ASSESSING VISION-LANGUAGE MODELS IN FETAL ULTRASOUND
  40. ICLR 2026Figma2Code: Automating Multimodal Design to Code in the Wild
  41. ICLR 2026Fine-Grained Activation Steering: Steering Less, Achieving More
  42. ICLR 2026Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
  43. ICLR 2026FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
  44. ICLR 2026FlashRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
  45. ICLR 2026FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging
  46. ICLR 2026Flatness Guided Test-Time Adaptation for Vision-Language Models
  47. ICLR 2026Flatter Tokens are More Valuable for Speculative Draft Model Training
  48. ICLR 2026FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding
  49. ICLR 2026Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
  50. ICLR 2026FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving

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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