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
- 低秩适配论文从 2023 年的 282 篇增长到 2026 年的 841 篇，三年间扩大到约 3.0 倍。
- NeurIPS 是发低秩适配论文最多的会议，2023–2026 年共 781 篇，占四个会议总量的 34%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 61 篇。
- 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的缩放定律是 4.1 倍，低秩适配是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 78 | 76 | 65 | 63 | 282 |
| 2024 | 193 | 95 | 124 | 106 | 518 |
| 2025 | 241 | 152 | 136 | 103 | 632 |
| 2026 | 269 | 184 | 240 | 148 | 841 |
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
- NeurIPS 2026$\delta$-Mem: : Efficient Online Memory For Large Language Models
- ICML 2026A3: an Analytical Low-Rank Approximation Framework for Attention
- ICLR 2026A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
- CVPR 20262-Shots in the Dark Low-Light Denoising with Minimal Data Acquisition
- NeurIPS 2025A geometric framework for momentum-based optimizers for low-rank training
- ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
- ICLR 2025A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
- CVPR 2025AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
- NeurIPS 2024Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
- ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
- ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
- CVPR 2024DePT: Decoupled Prompt Tuning
- NeurIPS 2023A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
- ICML 2023A Three-regime Model of Network Pruning
- ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
- CVPR 20231% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
- NeurIPS 2026A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
- ICML 2026Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
- ICLR 2026ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
- CVPR 2026Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
全部低秩适配论文
共 269 篇，第 6 / 6 页
- NeurIPS 2026TriAxialKV: Toward Extreme Low-Precision KV-Cache Quantization for Agentic Inference Tasks
- NeurIPS 2026Tuning the Tuner
- NeurIPS 2026U-MOF: Uncertainty-Guided Parameter-Efficient Multi-Objective Fine-Tuning for Long-Tailed Recognition
- NeurIPS 2026Uncovering Hidden Propensities in Language Models via Limited-Parameter Finetuning
- NeurIPS 2026Uniform Spectral Growth under Factor-wise Muon Orthogonalization in Matrix Factorization and LoRA
- NeurIPS 2026Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation
- NeurIPS 2026Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization
- NeurIPS 2026VALOR: Vector-Aware Low-Rank Restructuring of Neural Networks for RISC-V Inference
- NeurIPS 2026Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
- NeurIPS 2026Virtual Head Attention
- NeurIPS 2026What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective
- NeurIPS 2026When Are Semivalue-Based Decisions Identifiable? Robust Data Selection under Utility Ambiguity
- NeurIPS 2026When Does Fine-Tuning Extract Stored Knowledge? A Relation-Covering Theory for One-Layer Transformers
- NeurIPS 2026When Does Subspace Direction Matter for LoRA? Regime Analysis of the Magnitude Principle in Few-Shot Adaptation
- NeurIPS 2026When the Merge Coefficient Stops Mattering: Proximity Regularized Merging for Continual LoRA Adaptation
- NeurIPS 2026When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models
- NeurIPS 2026Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
- NeurIPS 2026Where You Backpropagate Matters: Token Hypothesis for Memory-Efficient Fine-Tuning
- NeurIPS 2026You CAN Teach an Old Model New Tricks: Domain Adaptation via Complementary Subspace Expansion
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"}
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。