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 25 / 46 页

  1. ICML 2025SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  2. ICML 2025SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
  3. ICML 2025SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
  4. ICML 2025Sparse Autoencoders, Again?
  5. ICML 2025Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
  6. ICML 2025SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  7. ICML 2025Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
  8. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
  9. ICML 2025SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
  10. ICML 2025Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
  11. ICML 2025Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
  12. ICML 2025Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
  13. ICML 2025Test-Time Learning for Large Language Models
  14. ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
  15. ICML 2025Text-to-LoRA: Instant Transformer Adaption
  16. ICML 2025The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
  17. ICML 2025The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport
  18. ICML 2025Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
  19. ICML 2025TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
  20. ICML 2025Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
  21. ICML 2025Tracking Most Significant Shifts in Infinite-Armed Bandits
  22. ICML 2025Transfer Q-Learning with Composite MDP Structures
  23. ICML 2025TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
  24. ICML 2025Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
  25. ICML 2025Ultra-Resolution Adaptation with Ease
  26. ICML 2025Unified K-Means Clustering with Label-Guided Manifold Learning
  27. ICML 2025Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
  28. ICML 2025Vision Graph Prompting via Semantic Low-Rank Decomposition
  29. ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
  30. ICML 2025WeGeFT: Weight‑Generative Fine‑Tuning for Multi‑Faceted Efficient Adaptation of Large Models
  31. ICML 2025Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
  32. NeurIPS 20253BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
  33. NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
  34. NeurIPS 2025A geometric framework for momentum-based optimizers for low-rank training
  35. NeurIPS 2025A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
  36. NeurIPS 2025A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
  37. NeurIPS 2025A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
  38. NeurIPS 2025Accurate and Efficient Low-Rank Model Merging in Core Space
  39. NeurIPS 2025Activated LoRA: Fine-tuned LLMs for Intrinsics
  40. NeurIPS 2025Activity Pruning for Efficient Spiking Neural Networks
  41. NeurIPS 2025AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
  42. NeurIPS 2025Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
  43. NeurIPS 2025Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
  44. NeurIPS 2025Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
  45. NeurIPS 2025Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
  46. NeurIPS 2025AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
  47. NeurIPS 2025AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
  48. NeurIPS 2025All You Need is One: Capsule Prompt Tuning with a Single Vector
  49. NeurIPS 2025AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
  50. NeurIPS 2025Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

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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