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 13 / 46 页

  1. NeurIPS 2026Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision--Language Models
  2. NeurIPS 2026Bayesian Low-Rank Posteriors for Scalable Membership Inference
  3. NeurIPS 2026BDC-Merge: Cross-Architecture Model Merging via Dependency Alignment
  4. NeurIPS 2026Benchmark Shadows: How Data Regimes Shape Parameter Footprints and Generalization
  5. NeurIPS 2026Benchmarks as Measurement Instruments: Quantifying Signal and Noise for More Efficient AI Evaluations Under Distribution Shift
  6. NeurIPS 2026Beyond High and Low: Evaluating Graded Cognitive Diversity in LLM Persona Simulations
  7. NeurIPS 2026Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
  8. NeurIPS 2026Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
  9. NeurIPS 2026Bilinear Matching Bandits
  10. NeurIPS 2026BiLoCo: Binary Low-Rank Corrections for LLM FP4 Decode
  11. NeurIPS 2026BitMTP: When Multi-Token Prediction Meets Low-Bit Large Language Models
  12. NeurIPS 2026BQ-LoRA: Binary-Quantized Low-Rank Adapters as Implicit Regularizers for Parameter-Efficient Fine-Tuning
  13. NeurIPS 2026Breaking Information Islands in Sparse Tuning via Small-World Connectivity
  14. NeurIPS 2026BReD: Block Replay Dithering for Stable Low-Bit EMA Optimizer States
  15. NeurIPS 2026Bridging Sequence and Structure with Unified Domain Adaptation for Drug-Target Interaction Prediction
  16. NeurIPS 2026Can Model Merging Improve Aggregation in DiLoCo?
  17. NeurIPS 2026Causal Discovery via Transformed Low-Rank Quantile Surfaces
  18. NeurIPS 2026CC-GS: Low-Memory 3D Gaussian Splatting Training via CPU-GPU Block-Wise Context Compositing
  19. NeurIPS 2026Class-Incremental Learning via LoRA-based Elastic Ensemble of Experts
  20. NeurIPS 2026ClusQuant: Mitigating Outliers with Clustering-Based Representations for Low-Precision LRMs
  21. NeurIPS 2026Communication-Efficient LLM Adaptation over Decentralized GPU Meshes
  22. NeurIPS 2026Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
  23. NeurIPS 2026Comp$^2$VLM: A Hybrid Framework Combining Quantization and Lossless Compression for Efficient Vision-Language Models
  24. NeurIPS 2026Complementary Cache Guidance with Gradient Disentanglement for Continuous Test-Time Adaptation
  25. NeurIPS 2026Complexity-Aware LoRA Aggregation for Modality-Heterogeneous Federated Person Re-identification
  26. NeurIPS 2026Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
  27. NeurIPS 2026Context as Low-Rank Weights: Bounded Parametric Dynamic Memory for Unbounded Context
  28. NeurIPS 2026Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
  29. NeurIPS 2026Controlling Temporal Pseudo-Label Marginals for Stable Online Test-Time Adaptation
  30. NeurIPS 2026Convergence of Near-Linear Width ReLU Networks with Unbalanced Initialization
  31. NeurIPS 2026CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation
  32. NeurIPS 2026CPA: Efficient and Stable FP4 RL Training via Cross-Precision Alignment
  33. NeurIPS 2026D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
  34. NeurIPS 2026D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
  35. NeurIPS 2026DAGA: Dynamic Attention-Guided Adaptation for Self-Supervised Vision Transformers
  36. NeurIPS 2026Decomposing the modulation of interactions between neuronal populations
  37. NeurIPS 2026DEDCA: Test-Time Adaptation for Generalized AI-Generated Image Detection
  38. NeurIPS 2026DeltaMomentum: A Key-Value based Anisotropic Momentum Update via Delta Rule
  39. NeurIPS 2026Depth through Recurrence: Towards Ultra-Efficient On-Device ASR
  40. NeurIPS 2026DiffATS: Diffusion in Aligned Tensor Space
  41. NeurIPS 2026Diffusion Tree Search for Inference Time Adaptation of Material Foundation Models
  42. NeurIPS 2026Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs
  43. NeurIPS 2026Don’t Learn What You Can Compute: Arithmetic Residual Blocks for Exact Arithmetic in Transformers
  44. NeurIPS 2026Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
  45. NeurIPS 2026DRIVE: Fine-tuning via Data Contribution- and Diversity-aware Weighting with Prior Regularization
  46. NeurIPS 2026Dual-Pronged LoRA: Achieving Near-Zero Forgetting and High-Performance Adaptation for MLLMs
  47. NeurIPS 2026Dynamic Model Merging Made Slim
  48. NeurIPS 2026Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology
  49. NeurIPS 2026DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
  50. NeurIPS 2026Editing Large Language Models with Geometry-Aware Regularization

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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