Cover Image

Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shinwari, Haseeb Ullah Khan, Usama, Muhammad
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)

ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models
by: Piehl, Mitchell, et al.
Published: (2026)

MemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language Models
by: Ha, Hyeonjeong, et al.
Published: (2026)

Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025)

Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
by: Shahzad, Muhammad Khuram, et al.
Published: (2026)

Comparative Study of Long Short-Term Memory (LSTM) and Quantum Long Short-Term Memory (QLSTM): Prediction of Stock Market Movement
by: Mahmood, Tariq, et al.
Published: (2024)

Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
by: Günster, Jonas, et al.
Published: (2024)

Generative VS non-Generative Models in Engineering Shape Optimization
by: Usama, Muhammad, et al.
Published: (2024)

Recurrent Memory-Augmented Transformers with Chunked Attention for Long-Context Language Modeling
by: Kashyap, Ankit
Published: (2025)

Real Time Headway Predictions in Urban Rail Systems and Implications for Service Control: A Deep Learning Approach
by: Usama, Muhammad, et al.
Published: (2025)

From Literal to Liberal: A Meta-Prompting Framework for Eliciting Human-Aligned Exception Handling in Large Language Models
by: Khan, Imran
Published: (2025)

Mechanistic Analysis of Circuit Preservation in Federated Learning
by: Haseeb, Muhammad, et al.
Published: (2025)

Long Context RAG Performance of Large Language Models
by: Leng, Quinn, et al.
Published: (2024)

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
by: Shao, Minghao, et al.
Published: (2024)

Deep Reinforcement Learning-Based DRAM Equalizer Parameter Optimization Using Latent Representations
by: Usama, Muhammad, et al.
Published: (2025)

Distributional Reinforcement Learning with Information Bottleneck for Uncertainty-Aware DRAM Equalization
by: Usama, Muhammad, et al.
Published: (2026)

Learning-Driven Exploration for Reinforcement Learning
by: Usama, Muhammad, et al.
Published: (2019)

LongAlign: A Recipe for Long Context Alignment of Large Language Models
by: Bai, Yushi, et al.
Published: (2024)

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
by: Le, Hung, et al.
Published: (2025)

Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents
by: Kortukov, Evgenii, et al.
Published: (2024)

LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
by: Gajjar, Pranshav, et al.
Published: (2026)

DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models
by: Zhang, Jinbin, et al.
Published: (2025)

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference
by: Wolters, Christopher, et al.
Published: (2024)

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting
by: Shen, Lefei, et al.
Published: (2025)

HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
by: He, Zifan, et al.
Published: (2024)

On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"
by: Dotsinski, Asen, et al.
Published: (2025)

Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs
by: Jonelagadda, Aneesh, et al.
Published: (2025)

Large Language Models are Learnable Planners for Long-Term Recommendation
by: Shi, Wentao, et al.
Published: (2024)

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
by: Chen, Guanzheng, et al.
Published: (2025)

Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
by: Zhang, Jinbin, et al.
Published: (2024)

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
by: Huang, Yunpeng, et al.
Published: (2023)

MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
by: Zhang, Junyang, et al.
Published: (2025)

xLSTM: Extended Long Short-Term Memory
by: Beck, Maximilian, et al.
Published: (2024)

Long Term Memory: The Foundation of AI Self-Evolution
by: Jiang, Xun, et al.
Published: (2024)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
by: Özalp, Elise, et al.
Published: (2023)

Retrieval meets Long Context Large Language Models
by: Xu, Peng, et al.
Published: (2023)

Efficient Low Rank Attention for Long-Context Inference in Large Language Models
by: Li, Tenghui, et al.
Published: (2025)

In-Context Clustering with Large Language Models
by: Wang, Ying, et al.
Published: (2025)

Data Augmentation Policy Search for Long-Term Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024)

3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
by: Hu, Wenbo, et al.
Published: (2025)