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 9 / 16 页

  1. NeurIPS 2025LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
  2. NeurIPS 2025Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
  3. NeurIPS 2025Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
  4. NeurIPS 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
  5. NeurIPS 2025Memory-Efficient Training with In-Place FFT Implementation
  6. NeurIPS 2025MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
  7. NeurIPS 2025Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
  8. NeurIPS 2025Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning
  9. NeurIPS 2025Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
  10. NeurIPS 2025MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation
  11. NeurIPS 2025MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
  12. NeurIPS 2025MokA: Multimodal Low-Rank Adaptation for MLLMs
  13. NeurIPS 2025Monitoring Risks in Test-Time Adaptation
  14. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
  15. NeurIPS 2025MoRIC: A Modular Region-based Implicit Codec for Image Compression
  16. NeurIPS 2025Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
  17. NeurIPS 2025Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE
  18. NeurIPS 2025Non-Convex Tensor Recovery from Tube-Wise Sensing
  19. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
  20. NeurIPS 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
  21. NeurIPS 2025OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding
  22. NeurIPS 2025On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
  23. NeurIPS 2025On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
  24. NeurIPS 2025On the Role of Hidden States of Modern Hopfield Network in Transformer
  25. NeurIPS 2025Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
  26. NeurIPS 2025Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
  27. NeurIPS 2025Optimization Inspired Few-Shot Adaptation for Large Language Models
  28. NeurIPS 2025Oracle-Efficient Combinatorial Semi-Bandits
  29. NeurIPS 2025Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
  30. NeurIPS 2025Parameter Dynamics of Online Machine Learning and Test-time Adaptation
  31. NeurIPS 2025Parameter Efficient Fine-tuning via Explained Variance Adaptation
  32. NeurIPS 2025ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
  33. NeurIPS 2025Pay Attention to Small Weights
  34. NeurIPS 2025Perturbation Bounds for Low-Rank Inverse Approximations under Noise
  35. NeurIPS 2025PoLAR: Polar-Decomposed Low-Rank Adapter Representation
  36. NeurIPS 2025Position: AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
  37. NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
  38. NeurIPS 2025Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
  39. NeurIPS 2025Prompt Tuning Transformers for Data Memorization
  40. NeurIPS 2025Provable Meta-Learning with Low-Rank Adaptations
  41. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
  42. NeurIPS 2025PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
  43. NeurIPS 2025PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
  44. NeurIPS 2025Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
  45. NeurIPS 2025QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution
  46. NeurIPS 2025QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
  47. NeurIPS 2025QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
  48. NeurIPS 2025Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
  49. NeurIPS 2025Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
  50. NeurIPS 2025RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels

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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