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 1,074 篇,第 2 / 22 页

  1. NeurIPS 2025AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
  2. NeurIPS 2025ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
  3. NeurIPS 2025Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
  4. NeurIPS 2025An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
  5. NeurIPS 2025An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
  6. NeurIPS 2025Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
  7. NeurIPS 2025AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
  8. NeurIPS 2025AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
  9. NeurIPS 2025Approximate Domain Unlearning for Vision-Language Models
  10. NeurIPS 2025Approximately Aligned Decoding
  11. NeurIPS 2025ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
  12. NeurIPS 2025Asymmetric Dual-Lens Video Deblurring
  13. NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
  14. NeurIPS 2025Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs
  15. NeurIPS 2025Attention! Your Vision Language Model Could Be Maliciously Manipulated
  16. NeurIPS 2025Automated Model Discovery via Multi-modal & Multi-step Pipeline
  17. NeurIPS 2025Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
  18. NeurIPS 2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
  19. NeurIPS 2025Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
  20. NeurIPS 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
  21. NeurIPS 2025AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
  22. NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
  23. NeurIPS 2025BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
  24. NeurIPS 2025Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization
  25. NeurIPS 2025Balancing Multimodal Training Through Game-Theoretic Regularization
  26. NeurIPS 2025BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
  27. NeurIPS 2025BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation
  28. NeurIPS 2025Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
  29. NeurIPS 2025Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
  30. NeurIPS 2025Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
  31. NeurIPS 2025Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
  32. NeurIPS 2025Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
  33. NeurIPS 2025Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
  34. NeurIPS 2025Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
  35. NeurIPS 2025Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
  36. NeurIPS 2025Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
  37. NeurIPS 2025Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
  38. NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
  39. NeurIPS 2025Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
  40. NeurIPS 2025Bio-Inspired Image Restoration
  41. NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
  42. NeurIPS 2025BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
  43. NeurIPS 2025Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
  44. NeurIPS 2025Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
  45. NeurIPS 2025Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
  46. NeurIPS 2025BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception
  47. NeurIPS 2025Block-Biased Mamba for Long-Range Sequence Processing
  48. NeurIPS 2025BlockScan: Detecting Anomalies in Blockchain Transactions
  49. NeurIPS 2025BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
  50. NeurIPS 2025BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

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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