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 241 篇，第 2 / 5 页

  1. NeurIPS 2025Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
  2. NeurIPS 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
  3. NeurIPS 2025Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
  4. NeurIPS 2025DUO: No Compromise to Accuracy Degradation
  5. NeurIPS 2025Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
  6. NeurIPS 2025ECO: Evolving Core Knowledge for Efficient Transfer
  7. NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
  8. NeurIPS 2025Efficient Data Selection at Scale via Influence Distillation
  9. NeurIPS 2025Efficient Large Language Model Inference with Neural Block Linearization
  10. NeurIPS 2025Efficient Last-Iterate Convergence in Solving Extensive-Form Games
  11. NeurIPS 2025Efficient Low Rank Attention for Long-Context Inference in Large Language Models
  12. NeurIPS 2025Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
  13. NeurIPS 2025Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
  14. NeurIPS 2025Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
  15. NeurIPS 2025EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
  16. NeurIPS 2025Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
  17. NeurIPS 2025Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
  18. NeurIPS 2025Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
  19. NeurIPS 2025F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
  20. NeurIPS 2025FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
  21. NeurIPS 2025Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
  22. NeurIPS 2025Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
  23. NeurIPS 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
  24. NeurIPS 2025Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
  25. NeurIPS 2025Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
  26. NeurIPS 2025FlashBias: Fast Computation of Attention with Bias
  27. NeurIPS 2025FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
  28. NeurIPS 2025FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks
  29. NeurIPS 2025FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering
  30. NeurIPS 2025FP4 All the Way: Fully Quantized Training of Large Language Models
  31. NeurIPS 2025From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
  32. NeurIPS 2025Functional Complexity-adaptive Temporal Tensor Decomposition
  33. NeurIPS 2025GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
  34. NeurIPS 2025Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
  35. NeurIPS 2025GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion
  36. NeurIPS 2025Generalization Bounds for Rank-sparse Neural Networks
  37. NeurIPS 2025GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
  38. NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
  39. NeurIPS 2025GoRA: Gradient-driven Adaptive Low Rank Adaptation
  40. NeurIPS 2025GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
  41. NeurIPS 2025Graph Data Selection for Domain Adaptation: A Model-Free Approach
  42. NeurIPS 2025Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
  43. NeurIPS 2025Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
  44. NeurIPS 2025HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
  45. NeurIPS 2025HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
  46. NeurIPS 2025Heterogeneous Diffusion Structure Inference for Network Cascade
  47. NeurIPS 2025Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
  48. NeurIPS 2025Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
  49. NeurIPS 2025High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
  50. NeurIPS 2025HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts

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。

「优化与缩放」下的其他主题