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 840 篇，第 15 / 17 页

  1. NeurIPS 2026Knowing When Multivariate Forecasts Are Wrong
  2. NeurIPS 2026LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
  3. NeurIPS 2026Language-Induced Priors for Domain Adaptation
  4. NeurIPS 2026LAPLEX: The FFT of Learnable Laplace Kernels
  5. NeurIPS 2026LAtte: Hyperbolic Lorentz Attention for Joint-Subject EEG Classification
  6. NeurIPS 2026LEAN: Library-Based Adaptation for Asynchronous, Federated Fine-Tuning
  7. NeurIPS 2026Learnable Low-Rank Polynomial Sketch for Effective Linear Attention
  8. NeurIPS 2026Learning a Task-Adaptive Low-Dimensional Semantic Space for Improved Visual Classification
  9. NeurIPS 2026Learning from Ranking Feedback: Improved Regret Bounds via Independence Preserving Rank Breaking
  10. NeurIPS 2026Learning Process Rewards via Visitation Matching for Efficient RL
  11. NeurIPS 2026Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
  12. NeurIPS 2026Learning Reveals Invisible Structure in Low-Rank RNNs
  13. NeurIPS 2026Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
  14. NeurIPS 2026LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
  15. NeurIPS 2026Locking Pretrained Weights via Deep Low-Rank Residual Distillation
  16. NeurIPS 2026LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
  17. NeurIPS 2026LoRASpace: A Pool-Wide Shared Substrate for Static and Dynamic Multi-LoRA Composition
  18. NeurIPS 2026LoRAtorio: An intrinsic approach to LoRA Skill Composition
  19. NeurIPS 2026Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning
  20. NeurIPS 2026Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning
  21. NeurIPS 2026LR-V2X: Loss Resilient Collaborative Perception under Low-Bandwidth Communication
  22. NeurIPS 2026LSVD: Loss-Aware Low-Rank Approximation for Efficient Low-Precision Vision-Language Models
  23. NeurIPS 2026Magnitude-preserving Layers Enable Efficient GANs
  24. NeurIPS 2026Mamba Can Learn Low-Dimensional Targets In-Context via Test-Time Feature Learning
  25. NeurIPS 2026MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR
  26. NeurIPS 2026MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
  27. NeurIPS 2026MARS: Harmonizing Multimodal Convergence via Adaptive Rank Search
  28. NeurIPS 2026Match the Geometry, Skip the Surrogate: Extreme Low-Budget Optimization in High Dimensions
  29. NeurIPS 2026Matrix Recovery Via Symmetric Rank-one Measurements With Random Unit-modulus Vectors
  30. NeurIPS 2026Matrix-Free Stochastic Training of Low-Rank Spectral Graph Learning via Randomized Adaptive Spectral Estimation
  31. NeurIPS 2026Metric Depth Estimation from Arbitrarily Degraded Low-Resolution Depth Prompts
  32. NeurIPS 2026MIRA: Mutual Information guided calibration for Reliable Test-Time Adaptation
  33. NeurIPS 2026Modulating Merging Strengths via Joint Loss Estimation for LoRA-based Continual Learning
  34. NeurIPS 2026Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed
  35. NeurIPS 2026NoTA: Normalized Tensor Adaptation for Parameter-Efficient Continual Learning
  36. NeurIPS 2026NoTVLA: Semantics-Preserving Robot Adaptation via Narrative Action Interfaces
  37. NeurIPS 2026NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
  38. NeurIPS 2026On JEPA Isotropy
  39. NeurIPS 2026On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference
  40. NeurIPS 2026On the Geometry and Latent-Space Composition of Hypernetwork-Generated LoRAs
  41. NeurIPS 2026On the Limits of Latent Reuse in Diffusion Models
  42. NeurIPS 2026One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning
  43. NeurIPS 2026One Scan is Enough: Demonstration-Free Adaptation for Language-Guided Navigation
  44. NeurIPS 2026OrbitLoRA: Learning Rotation-Aware Low-Data Adaptation of Vision Foundation Models
  45. NeurIPS 2026Overcoming Rank Collapse in Feedback Alignment
  46. NeurIPS 2026Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
  47. NeurIPS 2026Parameter symmetries determine representational geometry in overparameterized nonlinear networks
  48. NeurIPS 2026Path Dependence under Adaptive AI Delegation
  49. NeurIPS 2026Pattern-Based Matrix Analysis Under Permutations
  50. NeurIPS 2026Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text 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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