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 1,492 篇，第 23 / 30 页

  1. CVPR 2024Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
  2. CVPR 2024Probing the 3D Awareness of Visual Foundation Models
  3. CVPR 2024Prompting Vision Foundation Models for Pathology Image Analysis
  4. CVPR 2024ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
  5. CVPR 2024Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
  6. CVPR 2024Rapid Motor Adaptation for Robotic Manipulator Arms
  7. CVPR 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
  8. CVPR 2024S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data
  9. CVPR 2024Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
  10. CVPR 2024Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
  11. CVPR 2024Sheared Backpropagation for Fine-tuning Foundation Models
  12. CVPR 2024Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
  13. CVPR 2024Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
  14. CVPR 2024Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
  15. CVPR 2024Time- Memory- and Parameter-Efficient Visual Adaptation
  16. CVPR 2024Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
  17. CVPR 2024Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
  18. CVPR 2024Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
  19. CVPR 2024Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
  20. ICLR 2024A Foundation Model for Error Correction Codes
  21. ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
  22. ICLR 2024Adapting to Distribution Shift by Visual Domain Prompt Generation
  23. ICLR 2024Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
  24. ICLR 2024An Emulator for Fine-tuning Large Language Models using Small Language Models
  25. ICLR 2024AutoLoRa: An Automated Robust Fine-Tuning Framework
  26. ICLR 2024AutoVP: An Automated Visual Prompting Framework and Benchmark
  27. ICLR 2024Batched Low-Rank Adaptation of Foundation Models
  28. ICLR 2024Bayesian Low-rank Adaptation for Large Language Models
  29. ICLR 2024BrainLM: A foundation model for brain activity recordings
  30. ICLR 2024C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
  31. ICLR 2024CLAP: Collaborative Adaptation for Patchwork Learning
  32. ICLR 2024Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
  33. ICLR 2024DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
  34. ICLR 2024Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  35. ICLR 2024Directly Fine-Tuning Diffusion Models on Differentiable Rewards
  36. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
  37. ICLR 2024Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
  38. ICLR 2024Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
  39. ICLR 2024Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
  40. ICLR 2024Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
  41. ICLR 2024Fast Imitation via Behavior Foundation Models
  42. ICLR 2024Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
  43. ICLR 2024Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
  44. ICLR 2024Fine-Tuning Language Models for Factuality
  45. ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
  46. ICLR 2024Gradual Domain Adaptation via Gradient Flow
  47. ICLR 2024Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
  48. ICLR 2024Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
  49. ICLR 2024Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
  50. ICLR 2024Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

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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