mlsanityData to 7 Oct 2026

Memory Networks

arXiv 1410.3916 ↗First posted 15 Oct 2014cs.AI cs.CL stat.MLcited by 354

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Abstract (arXiv)

We describe a new class of learning models called memory networks. Memory networks reason with inference components combined with a long-term memory component; they learn how to use these jointly. The long-term memory can be read and written to, with the goal of using it for prediction. We investigate these models in the context of question answering (QA) where the long-term memory effectively acts as a (dynamic) knowledge base, and the output is a textual response. We evaluate them on a large-scale QA task, and a smaller, but more complex, toy task generated from a simulated world. In the latter, we show the reasoning power of such models by chaining multiple supporting sentences to answer questions that require understanding the intension of verbs.

Key facts. Cited by 354 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Oct 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2020: 2; 2021: 80; 2022: 82; 2023: 48; 2024: 41; 2025: 45; 2026: 56.

354 papers.

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  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  3. 2021Perceiver: General Perception with Iterative Attentioncited by 1,089
  4. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  5. 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 656
  6. 2022Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasetscited by 599
  7. 2023Cognitive Architectures for Language Agentscited by 422
  8. 2024Titans: Learning to Memorize at Test Timecited by 303
  9. 20243D Reconstruction with Spatial Memorycited by 269
  10. 2022Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptorscited by 267
  11. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
  12. 2025MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agentcited by 235
38 more
  1. 2021Internet-Augmented Dialogue Generationcited by 217
  2. 2022Neural Networks and the Chomsky Hierarchycited by 214
  3. 2024InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memorycited by 192
  4. 2022Scalable Adaptive Computation for Iterative Generationcited by 190
  5. 2022Cross-modal Memory Networks for Radiology Report Generationcited by 183
  6. 2022A Review on Language Models as Knowledge Basescited by 156
  7. 2023Towards Better Dynamic Graph Learning: New Architecture and Unified Librarycited by 154
  8. 2023Birth of a Transformer: A Memory Viewpointcited by 154
  9. 2021Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Datacited by 152
  10. 2025Dynamic Cheatsheet: Test-Time Learning with Adaptive Memorycited by 146
  11. 2021AGQA: A Benchmark for Compositional Spatio-Temporal Reasoningcited by 120
  12. 2022MeMOT: Multi-Object Tracking with Memorycited by 113
  13. 2024EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithmscited by 109
  14. 2021MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detectioncited by 106
  15. 2023Scaling Transformer to 1M tokens and beyond with RMTcited by 97
  16. 2021Structured Scene Memory for Vision-Language Navigationcited by 95
  17. 2022Constrained Few-shot Class-incremental Learningcited by 93
  18. 2021Do Long-Range Language Models Actually Use Long-Range Context?cited by 92
  19. 2021STMTrack: Template-free Visual Tracking with Space-time Memory Networkscited by 91
  20. 2024MEMORYLLM: Towards Self-Updatable Large Language Modelscited by 89
  21. 2021You Only Learn One Representation: Unified Network for Multiple Taskscited by 86
  22. 2022Learning from Few Examples: A Summary of Approaches to Few-Shot Learningcited by 86
  23. 2022Remember Intentions: Retrospective-Memory-based Trajectory Predictioncited by 86
  24. 2023System 2 Attention (is something you might need too)cited by 85
  25. 2021Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detectioncited by 83
  26. 2021Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuningcited by 82
  27. 2024From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMscited by 77
  28. 2023HIPTrack: Visual Tracking with Historical Promptscited by 71
  29. 2023Large Language Models can Learn Rulescited by 66
  30. 2022SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memorycited by 65
  31. 2023Leveraging Large Language Models in Conversational Recommender Systemscited by 63
  32. 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 62
  33. 2023Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generationcited by 61
  34. 2022General-purpose, long-context autoregressive modeling with Perceiver ARcited by 60
  35. 2026Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontierscited by 60
  36. 2023Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generationcited by 55
  37. 2024Larimar: Large Language Models with Episodic Memory Controlcited by 53
  38. 2024Contextual Position Encoding: Learning to Count What's Importantcited by 53

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