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

151 papers, page 3 of 4

101. NeurIPS 2026Contrastive Retrieval Heads for Improved Attention-Based Reranking
102. NeurIPS 2026Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
103. NeurIPS 2026Differentiable Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
104. NeurIPS 2026Do LLMs Bind Episodes? Probing Cross-Episode Parametric Retrieval Through Shared Cues
105. NeurIPS 2026EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
106. NeurIPS 2026EvoMM: Reinforced Self-Evolving Multimodal Agentic Memory
107. NeurIPS 2026FEP-Agent: Grounding LLM Agent Self-Evolution in Active Inference with Semantic Memory
108. NeurIPS 2026Gradient Boosted Trees for Retrieval-Augmented Generation
109. NeurIPS 2026GraphMemRL: Action-Native Reinforcement Learning for Persistent Graph Memory Construction
110. NeurIPS 2026Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
111. NeurIPS 2026How Much Evidence Should Retrieval-Augmented In-Context Learning Use Under Distribution Shift?
112. NeurIPS 2026In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
113. NeurIPS 2026Incentivizing Agentic Retrieval for Disease-Centric Clinical Case Search via Trajectory Memory
114. NeurIPS 2026Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents
115. NeurIPS 2026LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting
116. NeurIPS 2026ManipulationRAG: Retrieval-Augmented Fine-Grained Manipulation of Object Functional Parts
117. NeurIPS 2026MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing
118. NeurIPS 2026MemDLM: Memory-Enhanced DLM Training
119. NeurIPS 2026Memory flows: geometry and dynamics of sequential retrieval in input-driven Hopfield networks
120. NeurIPS 2026Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory
121. NeurIPS 2026Memory Retrieval for Changing Preferences
122. NeurIPS 2026Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies
123. NeurIPS 2026Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents
124. NeurIPS 2026MemPilot: Learning Transferable Latent Memory Mechanisms for LLM Reasoning
125. NeurIPS 2026MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition
126. NeurIPS 2026OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation
127. NeurIPS 2026OpticalRAG: Pixel-Space Compression for Token-Efficient Retrieval-Augmented Generation
128. NeurIPS 2026Phase Kernel Lifts Capacity of Dense Associative Memory
129. NeurIPS 2026Preventing Error Cascades in Long-Horizon Multimodal Agents with Edge-Reliability Graph Memory
130. NeurIPS 2026Privacy-Preserving Retrieval-Augmented Generation with Plausible Deniability
131. NeurIPS 2026RAGBoost: Robust Tabular Learning via Retrieval-Augmented and Ancillary-Guided Gradient Boosting
132. NeurIPS 2026ReCon: Toward Balanced Learning under Inter-Context and Context-Memory Conflicts
133. NeurIPS 2026Remembering What Matters: From Markovian to Subtask-Causal Memory in VLA Policies
134. NeurIPS 2026Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios
135. NeurIPS 2026RL-Guided Temporal Localization for Dual-Channel Retrieval in Long-Horizon Agent Memory
136. NeurIPS 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-𝑁 Ranking
137. NeurIPS 2026SAGE: Semantic Ambiguity Guided Capacity Expansion for Retrieval-Augmented Generation
138. NeurIPS 2026Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
139. NeurIPS 2026Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics
140. NeurIPS 2026SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory
141. NeurIPS 2026Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
142. NeurIPS 2026Speeding up Log-Sum-Exp: Kernel Fusion at the Memory Wall, Integer Arithmetic at the Compute Wall
143. NeurIPS 2026TailCon: Mitigating Tail Signal Erosion through Memory Consolidation for Long-Tailed Recognition
144. NeurIPS 2026The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory
145. NeurIPS 2026Train-free Data Poisoning Attack against Retrieval-augmented Diffusion Models
146. NeurIPS 2026TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents
147. NeurIPS 2026TRIM: A Theory of Retrieval with Incremental Memory -- Defect, Benefit, and Critical Horizon
148. NeurIPS 2026V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
149. NeurIPS 2026When Does Graph Retrieval Become Answer-Supporting Evidence? A Diagnostic Audit of GraphRAG
150. NeurIPS 2026When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory

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.