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 2,272 篇，第 26 / 46 页

  1. NeurIPS 2025AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
  2. NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
  3. NeurIPS 2025Bayes optimal learning of attention-indexed models
  4. NeurIPS 2025Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
  5. NeurIPS 2025Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
  6. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
  7. NeurIPS 2025Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
  8. NeurIPS 2025C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
  9. NeurIPS 2025Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images
  10. NeurIPS 2025COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
  11. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
  12. NeurIPS 2025CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
  13. NeurIPS 2025Composing Linear Layers from Irreducibles
  14. NeurIPS 2025Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
  15. NeurIPS 2025Continual Knowledge Adaptation for Reinforcement Learning
  16. NeurIPS 2025Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
  17. NeurIPS 2025Correlated Low-Rank Adaptation for ConvNets
  18. NeurIPS 2025CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
  19. NeurIPS 2025Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
  20. NeurIPS 2025D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
  21. NeurIPS 2025Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
  22. NeurIPS 2025DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
  23. NeurIPS 2025DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  24. NeurIPS 2025Demystifying Language Model Forgetting with Low-rank Example Associations
  25. NeurIPS 2025Dependency Parsing is More Parameter-Efficient with Normalization
  26. NeurIPS 2025Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
  27. NeurIPS 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
  28. NeurIPS 2025Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
  29. NeurIPS 2025Distribution-Aligned Decoding for Efficient LLM Task Adaptation
  30. NeurIPS 2025Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
  31. NeurIPS 2025DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
  32. NeurIPS 2025Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
  33. NeurIPS 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
  34. NeurIPS 2025Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
  35. NeurIPS 2025DUO: No Compromise to Accuracy Degradation
  36. NeurIPS 2025Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
  37. NeurIPS 2025ECO: Evolving Core Knowledge for Efficient Transfer
  38. NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
  39. NeurIPS 2025Efficient Data Selection at Scale via Influence Distillation
  40. NeurIPS 2025Efficient Large Language Model Inference with Neural Block Linearization
  41. NeurIPS 2025Efficient Last-Iterate Convergence in Solving Extensive-Form Games
  42. NeurIPS 2025Efficient Low Rank Attention for Long-Context Inference in Large Language Models
  43. NeurIPS 2025Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
  44. NeurIPS 2025Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
  45. NeurIPS 2025Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
  46. NeurIPS 2025EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
  47. NeurIPS 2025Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
  48. NeurIPS 2025Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
  49. NeurIPS 2025Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
  50. NeurIPS 2025F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning

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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