Saved in:
| Main Authors: | Borro, Luiz C., Macarini, Luiz A. B., Tindall, Gordon, Montero, Michael, Struck, Adam B. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.19935 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
by: Srivastava, Saksham Sahai, et al.
Published: (2025)
by: Srivastava, Saksham Sahai, et al.
Published: (2025)
Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents
by: Xu, Xiucheng, et al.
Published: (2026)
by: Xu, Xiucheng, et al.
Published: (2026)
Compact Recurrent Transformer with Persistent Memory
by: Mucllari, Edison, et al.
Published: (2025)
by: Mucllari, Edison, et al.
Published: (2025)
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024)
by: Xiao, Chaojun, et al.
Published: (2024)
Evaluating Memory Structure in LLM Agents
by: Shutova, Alina, et al.
Published: (2026)
by: Shutova, Alina, et al.
Published: (2026)
Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation
by: Kagaya, Tomoyuki, et al.
Published: (2025)
by: Kagaya, Tomoyuki, et al.
Published: (2025)
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
by: Yu, Hongli, et al.
Published: (2025)
by: Yu, Hongli, et al.
Published: (2025)
LCSB: Layer-Cyclic Selective Backpropagation for Memory-Efficient On-Device LLM Fine-Tuning
by: Park, Juneyoung, et al.
Published: (2026)
by: Park, Juneyoung, et al.
Published: (2026)
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)
by: Chen, Hao Mark, et al.
Published: (2024)
SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training
by: Li, Zhouyang, et al.
Published: (2025)
by: Li, Zhouyang, et al.
Published: (2025)
Memory-Induced Tool-Drift in LLM Agents
by: Dabas, Mahavir, et al.
Published: (2026)
by: Dabas, Mahavir, et al.
Published: (2026)
State Contamination in Memory-Augmented LLM Agents
by: Wang, Yian, et al.
Published: (2026)
by: Wang, Yian, et al.
Published: (2026)
MCAP: Deployment-Time Layer Profiling for Memory-Constrained LLM Inference
by: Das, Anurita
Published: (2026)
by: Das, Anurita
Published: (2026)
Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
by: Niu, Ziru, et al.
Published: (2025)
by: Niu, Ziru, et al.
Published: (2025)
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
by: Refael, Yehonathan, et al.
Published: (2025)
by: Refael, Yehonathan, et al.
Published: (2025)
Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents
by: Yan, Sikuan, et al.
Published: (2026)
by: Yan, Sikuan, et al.
Published: (2026)
ProTrain: Efficient LLM Training via Memory-Aware Techniques
by: Yang, Hanmei, et al.
Published: (2024)
by: Yang, Hanmei, et al.
Published: (2024)
Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Devices
by: Shkolnikov, Yakov Pyotr
Published: (2026)
by: Shkolnikov, Yakov Pyotr
Published: (2026)
Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving
by: Zhao, Zihan, et al.
Published: (2026)
by: Zhao, Zihan, et al.
Published: (2026)
Memory by Design: Probabilistic Sequence Layers
by: Dowling, Matthew, et al.
Published: (2026)
by: Dowling, Matthew, et al.
Published: (2026)
MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning
by: Liu, Dong, et al.
Published: (2026)
by: Liu, Dong, et al.
Published: (2026)
MEPIC: Memory Efficient Position Independent Caching for LLM Serving
by: Wang, Qian, et al.
Published: (2025)
by: Wang, Qian, et al.
Published: (2025)
Toward Conversational Agents with Context and Time Sensitive Long-term Memory
by: Alonso, Nick, et al.
Published: (2024)
by: Alonso, Nick, et al.
Published: (2024)
Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
by: Zhang, Qizheng, et al.
Published: (2025)
by: Zhang, Qizheng, et al.
Published: (2025)
Memory Injection Attacks on LLM Agents via Query-Only Interaction
by: Dong, Shen, et al.
Published: (2025)
by: Dong, Shen, et al.
Published: (2025)
AI Agents Need Memory Control Over More Context
by: Bousetouane, Fouad
Published: (2026)
by: Bousetouane, Fouad
Published: (2026)
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding
by: Zuhri, Zayd Muhammad Kawakibi, et al.
Published: (2024)
by: Zuhri, Zayd Muhammad Kawakibi, et al.
Published: (2024)
Trained Persistent Memory for Frozen Decoder-Only LLMs
by: Jeong, Hong
Published: (2026)
by: Jeong, Hong
Published: (2026)
Human-Inspired Memory Architecture for LLM Agents
by: Kerestecioglu, Doga, et al.
Published: (2026)
by: Kerestecioglu, Doga, et al.
Published: (2026)
Choosing How to Remember: Adaptive Memory Structures for LLM Agents
by: Lu, Mingfei, et al.
Published: (2026)
by: Lu, Mingfei, et al.
Published: (2026)
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
by: Le, Hung, et al.
Published: (2024)
by: Le, Hung, et al.
Published: (2024)
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
by: Pleines, Marco, et al.
Published: (2023)
by: Pleines, Marco, et al.
Published: (2023)
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
by: Rezazadeh, Alireza, et al.
Published: (2025)
by: Rezazadeh, Alireza, et al.
Published: (2025)
CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
by: Zhao, Runsong, et al.
Published: (2026)
by: Zhao, Runsong, et al.
Published: (2026)
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
by: He, Zifan, et al.
Published: (2024)
by: He, Zifan, et al.
Published: (2024)
XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference
by: Li, Weizhuo, et al.
Published: (2024)
by: Li, Weizhuo, et al.
Published: (2024)
Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
by: Zhang, Kehao, et al.
Published: (2026)
by: Zhang, Kehao, et al.
Published: (2026)
Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
by: Park, Juneyoung, et al.
Published: (2026)
by: Park, Juneyoung, et al.
Published: (2026)
CompAct: Compressed Activations for Memory-Efficient LLM Training
by: Shamshoum, Yara, et al.
Published: (2024)
by: Shamshoum, Yara, et al.
Published: (2024)
Similar Items
-
MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
by: Srivastava, Saksham Sahai, et al.
Published: (2025) -
Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents
by: Xu, Xiucheng, et al.
Published: (2026) -
Compact Recurrent Transformer with Persistent Memory
by: Mucllari, Edison, et al.
Published: (2025) -
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024) -
Evaluating Memory Structure in LLM Agents
by: Shutova, Alina, et al.
Published: (2026)