外部记忆论文趋势 2023–2026

主要结论

• 外部记忆论文从 2023 年的 21 篇增长到 2026 年的 56 篇，三年间扩大到约 2.7 倍。
• NeurIPS 是发外部记忆论文最多的会议，2023–2026 年共 46 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 9 篇。
• 在「长上下文与记忆」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的检索记忆是 6.6 倍，外部记忆是 2.7 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 2026Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
• ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
• ICLR 2026Pre-training Limited Memory Language Models with Internal and External Knowledge
• CVPR 2026Spatial-SAM Spatially Consistent 3D Electron Microscopy Segmentation with SDF Memory
• NeurIPS 2025Future Link Prediction Without Memory or Aggregation
• ICML 2025Agent Workflow Memory
• ICLR 2025BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
• CVPR 2025Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
• NeurIPS 2024Pipeline Parallelism with Controllable Memory
• ICML 2024Graph External Attention Enhanced Transformer
• ICLR 2024The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
• CVPR 2024RTracker: Recoverable Tracking via PN Tree Structured Memory
• NeurIPS 2023Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity
• ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
• ICLR 2023Mass-Editing Memory in a Transformer
• CVPR 2023Bilateral Memory Consolidation for Continual Learning
• NeurIPS 2026Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory
• ICML 2026Generalized Linear Bandits with Memory
• ICLR 2026QKV Projections Require a Fraction of Their Memory
• CVPR 2026Captain Safari A World Engine with Pose-Aligned 3D Memory

全部外部记忆论文

共 28 篇，第 1 / 1 页

1. ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
2. ICML 2026Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
3. ICML 2026E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
4. ICML 2026Generalized Linear Bandits with Memory
5. ICML 2026Hyperbolic Associative Memory Networks
6. ICML 2026Investigating Memory in Model-Free RL with POPGym Arcade
7. ICML 2026LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining
8. ICML 2026Memory Caching: RNNs with Growing Memory
9. ICML 2026Memory Savings at What Cost? A Study of Alternatives to Backpropagation
10. ICML 2026Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs
11. ICML 2026ParamMem: Augmenting Language Agents with Parametric Reflective Memory
12. ICML 2026Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
13. ICML 2026Textual Stochastic Gradient Descent: Discrete Optimization of External Memory for Reasoning Language Agents
14. ICML 2025Agent Workflow Memory
15. ICML 2025Deep Unsupervised Hashing via External Guidance
16. ICML 2025Dynamical phases of short-term memory mechanisms in RNNs
17. ICML 2024GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
18. ICML 2024Graph External Attention Enhanced Transformer
19. ICML 2024Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
20. ICML 2024Image Clustering with External Guidance
21. ICML 2024Larimar: Large Language Models with Episodic Memory Control
22. ICML 2024Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
23. ICML 2024StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
24. ICML 2024Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
25. ICML 2024Think Before You Act: Decision Transformers with Working Memory
26. ICML 2024Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
27. ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
28. ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions

常见问题

2023–2026 年四大会议一共有多少篇外部记忆论文？

共 130 篇，按年份分别是 2023 年 21 篇、2024 年 25 篇、2025 年 28 篇、2026 年 56 篇。

NeurIPS 2026 有多少篇外部记忆论文？

NeurIPS 2026 有 26 篇外部记忆论文，上一届是 12 篇。

ICLR 2026 有多少篇外部记忆论文？

ICLR 2026 有 13 篇外部记忆论文，上一届是 10 篇。

ICML 2026 有多少篇外部记忆论文？

ICML 2026 有 13 篇外部记忆论文，上一届是 3 篇。

CVPR 2026 有多少篇外部记忆论文？

CVPR 2026 有 4 篇外部记忆论文，上一届是 3 篇。

哪个会议的外部记忆论文最多？

NeurIPS，2023–2026 年共 46 篇。