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 781 篇，第 7 / 16 页

  1. NeurIPS 2025Composing Linear Layers from Irreducibles
  2. NeurIPS 2025Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
  3. NeurIPS 2025Continual Knowledge Adaptation for Reinforcement Learning
  4. NeurIPS 2025Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
  5. NeurIPS 2025Correlated Low-Rank Adaptation for ConvNets
  6. NeurIPS 2025CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
  7. NeurIPS 2025Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
  8. NeurIPS 2025D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
  9. NeurIPS 2025Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
  10. NeurIPS 2025DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
  11. NeurIPS 2025DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  12. NeurIPS 2025Demystifying Language Model Forgetting with Low-rank Example Associations
  13. NeurIPS 2025Dependency Parsing is More Parameter-Efficient with Normalization
  14. NeurIPS 2025Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
  15. NeurIPS 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
  16. NeurIPS 2025Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
  17. NeurIPS 2025Distribution-Aligned Decoding for Efficient LLM Task Adaptation
  18. NeurIPS 2025Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
  19. NeurIPS 2025DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
  20. NeurIPS 2025Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
  21. NeurIPS 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
  22. NeurIPS 2025Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
  23. NeurIPS 2025DUO: No Compromise to Accuracy Degradation
  24. NeurIPS 2025Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
  25. NeurIPS 2025ECO: Evolving Core Knowledge for Efficient Transfer
  26. NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
  27. NeurIPS 2025Efficient Data Selection at Scale via Influence Distillation
  28. NeurIPS 2025Efficient Large Language Model Inference with Neural Block Linearization
  29. NeurIPS 2025Efficient Last-Iterate Convergence in Solving Extensive-Form Games
  30. NeurIPS 2025Efficient Low Rank Attention for Long-Context Inference in Large Language Models
  31. NeurIPS 2025Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
  32. NeurIPS 2025Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
  33. NeurIPS 2025Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
  34. NeurIPS 2025EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
  35. NeurIPS 2025Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
  36. NeurIPS 2025Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
  37. NeurIPS 2025Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
  38. NeurIPS 2025F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
  39. NeurIPS 2025FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
  40. NeurIPS 2025Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
  41. NeurIPS 2025Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
  42. NeurIPS 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
  43. NeurIPS 2025Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
  44. NeurIPS 2025Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
  45. NeurIPS 2025FlashBias: Fast Computation of Attention with Bias
  46. NeurIPS 2025FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
  47. NeurIPS 2025FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks
  48. NeurIPS 2025FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering
  49. NeurIPS 2025FP4 All the Way: Fully Quantized Training of Large Language Models
  50. NeurIPS 2025From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics

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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