Retrieval Memory papers, 2023–2026

Key findings

• Retrieval Memory went from 23 papers in 2023 to 151 in 2026, roughly 6.6x in three years.
• NeurIPS publishes the most Retrieval Memory work: 120 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 25 in 2026.
• Among the 5 topics under Long Context and Memory, it ranks #3 by 2026 paper count; the fastest grower in the group, Long Context, is up 5.2x versus 6.6x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Retrieval Memory papers

120 papers, page 2 of 3

51. NeurIPS 2026Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
52. NeurIPS 2026Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics
53. NeurIPS 2026SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory
54. NeurIPS 2026Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
55. NeurIPS 2026Speeding up Log-Sum-Exp: Kernel Fusion at the Memory Wall, Integer Arithmetic at the Compute Wall
56. NeurIPS 2026TailCon: Mitigating Tail Signal Erosion through Memory Consolidation for Long-Tailed Recognition
57. NeurIPS 2026The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory
58. NeurIPS 2026Train-free Data Poisoning Attack against Retrieval-augmented Diffusion Models
59. NeurIPS 2026TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents
60. NeurIPS 2026TRIM: A Theory of Retrieval with Incremental Memory -- Defect, Benefit, and Critical Horizon
61. NeurIPS 2026V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
62. NeurIPS 2026When Does Graph Retrieval Become Answer-Supporting Evidence? A Diagnostic Audit of GraphRAG
63. NeurIPS 2026When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory
64. NeurIPS 2026When to Trust Memory: Retrieval-Guided Probabilistic Spatiotemporal Forecasting under Distribution Shift
65. NeurIPS 2025A-Mem: Agentic Memory for LLM Agents
66. NeurIPS 2025Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
67. NeurIPS 2025Chain-of-Retrieval Augmented Generation
68. NeurIPS 2025Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
69. NeurIPS 2025Dense Associative Memory with Epanechnikov Energy
70. NeurIPS 2025DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
71. NeurIPS 2025EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
72. NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
73. NeurIPS 2025GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
74. NeurIPS 2025Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
75. NeurIPS 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
76. NeurIPS 2025Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
77. NeurIPS 2025KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
78. NeurIPS 2025Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
79. NeurIPS 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
80. NeurIPS 2025Memory Mosaics at scale
81. NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
82. NeurIPS 2025Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
83. NeurIPS 2025Nested Learning: The Illusion of Deep Learning Architectures
84. NeurIPS 2025NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
85. NeurIPS 2025Optimizing Retrieval for RAG via Reinforced Contrastive Learning
86. NeurIPS 2025ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
87. NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
88. NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
89. NeurIPS 2025Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
90. NeurIPS 2025Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
91. NeurIPS 2025REMI: Reconstructing Episodic Memory During Internally Driven Path Planning
92. NeurIPS 2025RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
93. NeurIPS 2025SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
94. NeurIPS 2025STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
95. NeurIPS 2025Towards General Continuous Memory for Vision-Language Models
96. NeurIPS 2025Understanding protein function with a multimodal retrieval-augmented foundation model
97. NeurIPS 2025Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
98. NeurIPS 2025VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
99. NeurIPS 2024A Gradient Accumulation Method for Dense Retriever under Memory Constraint
100. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

FAQ

How many Retrieval Memory papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

290 in total: 23 in 2023, 44 in 2024, 72 in 2025, 151 in 2026.

How many Retrieval Memory papers are at NeurIPS 2026?

NeurIPS 2026 has 64 Retrieval Memory papers, versus 34 the year before.

How many Retrieval Memory papers are at ICLR 2026?

ICLR 2026 has 31 Retrieval Memory papers, versus 19 the year before.

How many Retrieval Memory papers are at ICML 2026?

ICML 2026 has 38 Retrieval Memory papers, versus 14 the year before.

How many Retrieval Memory papers are at CVPR 2026?

CVPR 2026 has 18 Retrieval Memory papers, versus 5 the year before.

Which conference publishes the most Retrieval Memory papers?

NeurIPS, with 120 papers from 2023 to 2026.