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

44 papers, page 1 of 1

1. CVPR 2024Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
2. CVPR 2024EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
3. CVPR 2024LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
4. CVPR 2024MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
5. CVPR 2024Retrieval-Augmented Egocentric Video Captioning
6. CVPR 2024Retrieval-Augmented Embodied Agents
7. CVPR 2024Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
8. CVPR 2024Tactile-Augmented Radiance Fields
9. ICLR 2024BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
10. ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
11. ICLR 2024Making Retrieval-Augmented Language Models Robust to Irrelevant Context
12. ICLR 2024RA-DIT: Retrieval-Augmented Dual Instruction Tuning
13. ICLR 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
14. ICLR 2024Retrieval-Enhanced Contrastive Vision-Text Models
15. ICLR 2024STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
16. ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
17. ICML 2024A Statistical Framework for Data-dependent Retrieval-Augmented Models
18. ICML 2024Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
19. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
20. ICML 2024C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
21. ICML 2024Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
22. ICML 2024InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
23. ICML 2024Larimar: Large Language Models with Episodic Memory Control
24. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
25. ICML 2024Robust Learning-Augmented Dictionaries
26. ICML 2024Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
27. ICML 2024Think Before You Act: Decision Transformers with Working Memory
28. ICML 2024Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
29. ICML 2024Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
30. ICML 2024Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
31. NeurIPS 2024A Gradient Accumulation Method for Dense Retriever under Memory Constraint
32. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
33. NeurIPS 2024Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
34. NeurIPS 2024Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
35. NeurIPS 2024Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
36. NeurIPS 2024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
37. NeurIPS 2024Online Adaptation of Language Models with a Memory of Amortized Contexts
38. NeurIPS 2024Pipeline Parallelism with Controllable Memory
39. NeurIPS 2024Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
40. NeurIPS 2024RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
41. NeurIPS 2024RAGraph: A General Retrieval-Augmented Graph Learning Framework
42. NeurIPS 2024Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
43. NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
44. NeurIPS 2024WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

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.