检索记忆论文趋势 2023–2026
检索增强记忆
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 290 篇被归入该主题的论文。
主要结论
- 检索记忆论文从 2023 年的 23 篇增长到 2026 年的 151 篇,三年间扩大到约 6.6 倍。
- NeurIPS 是发检索记忆论文最多的会议,2023–2026 年共 120 篇,占四个会议总量的 41%。
- 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 25 篇。
- 在「长上下文与记忆」的 5 个主题里,它的 2026 年论文数排第 3;同组增长最快的长上下文是 5.2 倍,检索记忆是 6.6 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 8 | 7 | 3 | 5 | 23 |
| 2024 | 14 | 7 | 15 | 8 | 44 |
| 2025 | 34 | 19 | 14 | 5 | 72 |
| 2026 | 64 | 31 | 38 | 18 | 151 |
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 2026ADMIT: Support-Gated Memory-Write Admission for Document QA Agents
- ICML 2026Attention with Routed-Memory for Learnable Sparse Control
- ICLR 2026AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
- CVPR 2026DREAM Document Recognition with Explicit Adaptive Memory
- NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
- ICML 2025In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval
- ICLR 2025BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
- CVPR 2025MAD: Memory-Augmented Detection of 3D Objects
- NeurIPS 2024A Gradient Accumulation Method for Dense Retriever under Memory Constraint
- ICML 2024Think Before You Act: Decision Transformers with Working Memory
- ICLR 2024STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
- CVPR 2024Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
- NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
- ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
- ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
- CVPR 2023Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
- NeurIPS 2026Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
- ICML 2026Dense associative memory for Gaussian distributions
- ICLR 2026FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
- CVPR 2026Interactive Tracking A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation
全部检索记忆论文
共 34 篇,第 1 / 1 页
- NeurIPS 2025A-Mem: Agentic Memory for LLM Agents
- NeurIPS 2025Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
- NeurIPS 2025Chain-of-Retrieval Augmented Generation
- NeurIPS 2025Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
- NeurIPS 2025Dense Associative Memory with Epanechnikov Energy
- NeurIPS 2025DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
- NeurIPS 2025EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
- NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
- NeurIPS 2025GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
- NeurIPS 2025Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
- NeurIPS 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
- NeurIPS 2025Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
- NeurIPS 2025KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
- NeurIPS 2025Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
- NeurIPS 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
- NeurIPS 2025Memory Mosaics at scale
- NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
- NeurIPS 2025Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
- NeurIPS 2025Nested Learning: The Illusion of Deep Learning Architectures
- NeurIPS 2025NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
- NeurIPS 2025Optimizing Retrieval for RAG via Reinforced Contrastive Learning
- NeurIPS 2025ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
- NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
- NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
- NeurIPS 2025Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
- NeurIPS 2025Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
- NeurIPS 2025REMI: Reconstructing Episodic Memory During Internally Driven Path Planning
- NeurIPS 2025RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
- NeurIPS 2025SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
- NeurIPS 2025STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
- NeurIPS 2025Towards General Continuous Memory for Vision-Language Models
- NeurIPS 2025Understanding protein function with a multimodal retrieval-augmented foundation model
- NeurIPS 2025Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
- NeurIPS 2025VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
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 查检索记忆在 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": "retrieval-memory"}
常见问题
- 2023–2026 年四大会议一共有多少篇检索记忆论文?
- 共 290 篇,按年份分别是 2023 年 23 篇、2024 年 44 篇、2025 年 72 篇、2026 年 151 篇。
- NeurIPS 2026 有多少篇检索记忆论文?
- NeurIPS 2026 有 64 篇检索记忆论文,上一届是 34 篇。
- ICLR 2026 有多少篇检索记忆论文?
- ICLR 2026 有 31 篇检索记忆论文,上一届是 19 篇。
- ICML 2026 有多少篇检索记忆论文?
- ICML 2026 有 38 篇检索记忆论文,上一届是 14 篇。
- CVPR 2026 有多少篇检索记忆论文?
- CVPR 2026 有 18 篇检索记忆论文,上一届是 5 篇。
- 哪个会议的检索记忆论文最多?
- NeurIPS,2023–2026 年共 120 篇。