基础模型适配论文趋势 2023–2026

微调与适配

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,492 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

基础模型适配论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202381183624159
202494507056270
20251741497662461
202618218714291602

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

全部基础模型适配论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 531 篇，第 10 / 11 页

  1. NeurIPS 2023A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging
  2. NeurIPS 2023A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
  3. NeurIPS 2023AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
  4. NeurIPS 2023BayesTune: Bayesian Sparse Deep Model Fine-tuning
  5. NeurIPS 2023Benchmarking Foundation Models with Language-Model-as-an-Examiner
  6. NeurIPS 2023Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
  7. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
  8. NeurIPS 2023Brant: Foundation Model for Intracranial Neural Signal
  9. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
  10. NeurIPS 2023Combinatorial Optimization with Policy Adaptation using Latent Space Search
  11. NeurIPS 2023Composing Parameter-Efficient Modules with Arithmetic Operation
  12. NeurIPS 2023Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
  13. NeurIPS 2023Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
  14. NeurIPS 2023Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
  15. NeurIPS 2023Customizable Image Synthesis with Multiple Subjects
  16. NeurIPS 2023Data Portraits: Recording Foundation Model Training Data
  17. NeurIPS 2023Data Selection for Language Models via Importance Resampling
  18. NeurIPS 2023Demographic Parity Constrained Minimax Optimal Regression under Linear Model
  19. NeurIPS 2023Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
  20. NeurIPS 2023DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
  21. NeurIPS 2023Efficient Low-rank Backpropagation for Vision Transformer Adaptation
  22. NeurIPS 2023EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
  23. NeurIPS 2023Equivariant Adaptation of Large Pretrained Models
  24. NeurIPS 2023Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
  25. NeurIPS 2023Fast Trainable Projection for Robust Fine-tuning
  26. NeurIPS 2023Feature Adaptation for Sparse Linear Regression
  27. NeurIPS 2023Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
  28. NeurIPS 2023FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
  29. NeurIPS 2023Foundation Model is Efficient Multimodal Multitask Model Selector
  30. NeurIPS 2023Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
  31. NeurIPS 2023Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
  32. NeurIPS 2023Geodesic Multi-Modal Mixup for Robust Fine-Tuning
  33. NeurIPS 2023Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
  34. NeurIPS 2023GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
  35. NeurIPS 2023HiBug: On Human-Interpretable Model Debug
  36. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
  37. NeurIPS 2023How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
  38. NeurIPS 2023HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
  39. NeurIPS 2023Importance-aware Co-teaching for Offline Model-based Optimization
  40. NeurIPS 2023Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction
  41. NeurIPS 2023Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
  42. NeurIPS 2023Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  43. NeurIPS 2023Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
  44. NeurIPS 2023MixFormerV2: Efficient Fully Transformer Tracking
  45. NeurIPS 2023Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
  46. NeurIPS 2023Model Shapley: Equitable Model Valuation with Black-box Access
  47. NeurIPS 2023Model Sparsity Can Simplify Machine Unlearning
  48. NeurIPS 2023Model-enhanced Vector Index
  49. NeurIPS 2023Moment Matching Denoising Gibbs Sampling
  50. NeurIPS 2023MoVie: Visual Model-Based Policy Adaptation for View Generalization

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 查基础模型适配在 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": "foundation-model-adaptation"}

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基础模型适配论文？
共 1,492 篇，按年份分别是 2023 年 159 篇、2024 年 270 篇、2025 年 461 篇、2026 年 602 篇。
NeurIPS 2026 有多少篇基础模型适配论文？
NeurIPS 2026 有 182 篇基础模型适配论文，上一届是 174 篇。
ICLR 2026 有多少篇基础模型适配论文？
ICLR 2026 有 187 篇基础模型适配论文，上一届是 149 篇。
ICML 2026 有多少篇基础模型适配论文？
ICML 2026 有 142 篇基础模型适配论文，上一届是 76 篇。
CVPR 2026 有多少篇基础模型适配论文？
CVPR 2026 有 91 篇基础模型适配论文，上一届是 62 篇。
哪个会议的基础模型适配论文最多？
NeurIPS，2023–2026 年共 531 篇。

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