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 632 篇，第 9 / 13 页

  1. NeurIPS 2025AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
  2. NeurIPS 2025Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
  3. NeurIPS 2025Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
  4. NeurIPS 2025Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
  5. NeurIPS 2025Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
  6. NeurIPS 2025AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
  7. NeurIPS 2025AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
  8. NeurIPS 2025All You Need is One: Capsule Prompt Tuning with a Single Vector
  9. NeurIPS 2025AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
  10. NeurIPS 2025Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals
  11. NeurIPS 2025AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
  12. NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
  13. NeurIPS 2025Bayes optimal learning of attention-indexed models
  14. NeurIPS 2025Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
  15. NeurIPS 2025Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
  16. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
  17. NeurIPS 2025Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
  18. NeurIPS 2025C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
  19. NeurIPS 2025Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images
  20. NeurIPS 2025COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
  21. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
  22. NeurIPS 2025CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
  23. NeurIPS 2025Composing Linear Layers from Irreducibles
  24. NeurIPS 2025Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
  25. NeurIPS 2025Continual Knowledge Adaptation for Reinforcement Learning
  26. NeurIPS 2025Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
  27. NeurIPS 2025Correlated Low-Rank Adaptation for ConvNets
  28. NeurIPS 2025CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
  29. NeurIPS 2025Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
  30. NeurIPS 2025D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
  31. NeurIPS 2025Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
  32. NeurIPS 2025DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
  33. NeurIPS 2025DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  34. NeurIPS 2025Demystifying Language Model Forgetting with Low-rank Example Associations
  35. NeurIPS 2025Dependency Parsing is More Parameter-Efficient with Normalization
  36. NeurIPS 2025Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
  37. NeurIPS 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
  38. NeurIPS 2025Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
  39. NeurIPS 2025Distribution-Aligned Decoding for Efficient LLM Task Adaptation
  40. NeurIPS 2025Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
  41. NeurIPS 2025DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
  42. NeurIPS 2025Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
  43. NeurIPS 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
  44. NeurIPS 2025Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
  45. NeurIPS 2025DUO: No Compromise to Accuracy Degradation
  46. NeurIPS 2025Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
  47. NeurIPS 2025ECO: Evolving Core Knowledge for Efficient Transfer
  48. NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
  49. NeurIPS 2025Efficient Data Selection at Scale via Influence Distillation
  50. NeurIPS 2025Efficient Large Language Model Inference with Neural Block Linearization

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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