低秩适配论文趋势 2023–2026

LoRA 与参数高效微调

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,273 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

低秩适配论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202378766563282
202419395124106518
2025241152136103632
2026269184240148841

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

全部低秩适配论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 507 篇，第 6 / 11 页

  1. ICLR 2025LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
  2. ICLR 2025LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
  3. ICLR 2025LoLCATs: On Low-Rank Linearizing of Large Language Models
  4. ICLR 2025Long-Context Linear System Identification
  5. ICLR 2025LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
  6. ICLR 2025LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
  7. ICLR 2025LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
  8. ICLR 2025LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
  9. ICLR 2025LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models
  10. ICLR 2025LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
  11. ICLR 2025Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
  12. ICLR 2025MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
  13. ICLR 2025Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
  14. ICLR 2025MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
  15. ICLR 2025MCNC: Manifold-Constrained Reparameterization for Neural Compression
  16. ICLR 2025Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
  17. ICLR 2025MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
  18. ICLR 2025MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling
  19. ICLR 2025MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
  20. ICLR 2025MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
  21. ICLR 2025MTSAM: Multi-Task Fine-Tuning for Segment Anything Model
  22. ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
  23. ICLR 2025Noisy Test-Time Adaptation in Vision-Language Models
  24. ICLR 2025OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
  25. ICLR 2025On Large Language Model Continual Unlearning
  26. ICLR 2025On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
  27. ICLR 2025On the Benefits of Attribute-Driven Graph Domain Adaptation
  28. ICLR 2025On the Crucial Role of Initialization for Matrix Factorization
  29. ICLR 2025On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
  30. ICLR 2025PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
  31. ICLR 2025Palu: KV-Cache Compression with Low-Rank Projection
  32. ICLR 2025PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
  33. ICLR 2025Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
  34. ICLR 2025Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
  35. ICLR 2025Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
  36. ICLR 2025pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
  37. ICLR 2025PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
  38. ICLR 2025Progressive Parameter Efficient Transfer Learning for Semantic Segmentation
  39. ICLR 2025Proxy Denoising for Source-Free Domain Adaptation
  40. ICLR 2025QERA: an Analytical Framework for Quantization Error Reconstruction
  41. ICLR 2025Quantum-PEFT: Ultra parameter-efficient fine-tuning
  42. ICLR 2025R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
  43. ICLR 2025RandLoRA: Full rank parameter-efficient fine-tuning of large models
  44. ICLR 2025RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank
  45. ICLR 2025RaSA: Rank-Sharing Low-Rank Adaptation
  46. ICLR 2025Re-Imagining Multimodal Instruction Tuning: A Representation View
  47. ICLR 2025RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
  48. ICLR 2025Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
  49. ICLR 2025Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
  50. ICLR 2025SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation

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 查低秩适配在 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": "low-rank-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低秩适配论文？
共 2,273 篇，按年份分别是 2023 年 282 篇、2024 年 518 篇、2025 年 632 篇、2026 年 841 篇。
NeurIPS 2026 有多少篇低秩适配论文？
NeurIPS 2026 有 269 篇低秩适配论文，上一届是 241 篇。
ICLR 2026 有多少篇低秩适配论文？
ICLR 2026 有 184 篇低秩适配论文，上一届是 152 篇。
ICML 2026 有多少篇低秩适配论文？
ICML 2026 有 240 篇低秩适配论文，上一届是 136 篇。
CVPR 2026 有多少篇低秩适配论文？
CVPR 2026 有 148 篇低秩适配论文，上一届是 103 篇。
哪个会议的低秩适配论文最多？
NeurIPS，2023–2026 年共 781 篇。

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