低秩适配论文趋势 2023–2026

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。

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 240 篇，第 1 / 5 页

1. ICML 20261-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization
2. ICML 2026A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and Connectivity
3. ICML 2026A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
4. ICML 2026A3: an Analytical Low-Rank Approximation Framework for Attention
5. ICML 2026Accelerating Q-learning through Efficient Value-Sharing across Actions
6. ICML 2026Active Learning with Low-Rank Structure for Data Selection
7. ICML 2026Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
8. ICML 2026AgentVocab: Structure-Aware Vocabulary Adaptation for Efficient LLM Agents
9. ICML 2026AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning
10. ICML 2026ANTiC: Adaptive Neural Temporal In Situ Compressor
11. ICML 2026AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
12. ICML 2026AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality-Missing Prompt Tuning
13. ICML 2026Approximating f -Divergences with Rank Statistics
14. ICML 2026AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
15. ICML 2026Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
16. ICML 2026BAS: Bridging Adam and SignSGD for Memory-Efficient LLM Training
17. ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
18. ICML 2026Bayesian Tensor Decomposition with Diffusion Model Prior
19. ICML 2026Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
20. ICML 2026Beyond Description: Federated Adaptation via Semantic-Visual Prototype Alignment
21. ICML 2026Beyond Static Allocation: Dynamic Sensitivity-Aware Fine-Tuning for Vision Transformers
22. ICML 2026Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability
23. ICML 2026Beyond Temperature: Hyperfitting as a Late-Stage Geometric Expansion
24. ICML 2026Biologically plausible heavy-tailed connectivity enhances generalizations on cognitive tasks in recurrent neural networks
25. ICML 2026Blocking the Leakage: Manifold-Aware Gradient Projection for Long-Horizon Test-Time Adaptation
26. ICML 2026Breaking the Computational Barrier: Provably Efficient Actor–Critic for Low-Rank MDPs
27. ICML 2026Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
28. ICML 2026Can Muon Fine-tune Adam-Pretrained Models?
29. ICML 2026Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
30. ICML 2026Clipping Low-Probability Tokens in SFT Yields a Generalizable Initialization for RL
31. ICML 2026Clustering in Deep Stochastic Transformers
32. ICML 2026COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-Tuning
33. ICML 2026CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
34. ICML 2026Collaborative and Efficient Fine-tuning: Leveraging Task Similarity
35. ICML 2026Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter
36. ICML 2026Condition Number Based Low-Bit Quantization for Image Super-Resolution
37. ICML 2026Connecting Independently Trained Modes via Layer-Wise Connectivity
38. ICML 2026Convolutional Learnable-Group Weightless Neural Network
39. ICML 2026CRAMER: Control via Request-Aware Masking for Editing Recommenders
40. ICML 2026CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing
41. ICML 2026CSPLoRA: Confidence-Guided Structure Planning for Low-Rank Adaptation
42. ICML 2026cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
43. ICML 2026Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
44. ICML 2026Decoupled Low-Rank Adaptation for Robust Federated Fine-Tuning
45. ICML 2026Diffract: Spectral View of LLM Domain Adaptation
46. ICML 2026Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal Distributions
47. ICML 2026Discretized Density-Guided Source-Free Domain Adaptation for Regression
48. ICML 2026Disentangling Geometry, Performance, and Training in Language Models
49. ICML 2026Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
50. ICML 2026Diversity-aware Weight Perturbation Promotes Robust 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。