Imagen de Portada

Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pattichis, Andreas, Dovrolis, Constantine
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
por: Taylor, Cameron, et al.
Publicado: (2024)

MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
por: Lu, Yiyang, et al.
Publicado: (2026)

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
por: Ding, Ning, et al.
Publicado: (2026)

Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
por: Rezazadeh, Alireza, et al.
Publicado: (2025)

Field-Theoretic Memory for AI Agents: Continuous Dynamics for Context Preservation
por: Mitra, Subhadip
Publicado: (2026)

Memorization vs. Reasoning: Updating LLMs with New Knowledge
por: Li, Aochong Oliver, et al.
Publicado: (2025)

Learning Dynamics of LLM Finetuning
por: Ren, Yi, et al.
Publicado: (2024)

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
por: Feng, Yujie, et al.
Publicado: (2025)

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs
por: Clemente, Simone, et al.
Publicado: (2025)

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
por: Chen, Jianlv, et al.
Publicado: (2024)

MERMAID: Memory-Enhanced Retrieval and Reasoning with Multi-Agent Iterative Knowledge Grounding for Veracity Assessment
por: Cao, Yupeng, et al.
Publicado: (2026)

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
por: Feng, Yujie, et al.
Publicado: (2026)

Subjective Depth and Timescale Transformers: Learning Where and When to Compute
por: Wieser, Frederico, et al.
Publicado: (2025)

Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
por: Wang, Ziyan, et al.
Publicado: (2025)

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
por: Yu, Hongli, et al.
Publicado: (2025)

Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
por: Qiao, Boyu, et al.
Publicado: (2026)

SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning
por: Hazard, Hugo, et al.
Publicado: (2025)

Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
por: Araujo, Vladimir, et al.
Publicado: (2024)

Open Knowledge Base Canonicalization with Multi-task Learning
por: Liu, Bingchen, et al.
Publicado: (2024)

Explainable LLM Unlearning Through Reasoning
por: Liao, Junfeng, et al.
Publicado: (2026)

Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
por: Luo, Sijia, et al.
Publicado: (2026)

Learning Dynamics in Continual Pre-Training for Large Language Models
por: Wang, Xingjin, et al.
Publicado: (2025)

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
por: Li, Xiaopeng, et al.
Publicado: (2024)

Offline Reinforcement Learning for LLM Multi-Step Reasoning
por: Wang, Huaijie, et al.
Publicado: (2024)

Training-free LLM Merging for Multi-task Learning
por: Fu, Zichuan, et al.
Publicado: (2025)

Memory-Efficient LLM Training with Online Subspace Descent
por: Liang, Kaizhao, et al.
Publicado: (2024)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
por: Cheng, Ruoxi, et al.
Publicado: (2025)

Self-generated Replay Memories for Continual Neural Machine Translation
por: Resta, Michele, et al.
Publicado: (2024)

Pre-training Limited Memory Language Models with Internal and External Knowledge
por: Zhao, Linxi, et al.
Publicado: (2025)

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
por: Ding, Zifeng, et al.
Publicado: (2023)

Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces
por: Zhou, Yueer, et al.
Publicado: (2025)

ALAS: Autonomous Learning Agent for Self-Updating Language Models
por: Atreja, Dhruv
Publicado: (2025)

Evaluating Very Long-Term Conversational Memory of LLM Agents
por: Maharana, Adyasha, et al.
Publicado: (2024)

ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory
por: Ho, Matthew, et al.
Publicado: (2025)

Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization
por: Mendoza, Rafael, et al.
Publicado: (2024)

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
por: Tang, Pingzhi, et al.
Publicado: (2026)

AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
por: Wu, Peilin, et al.
Publicado: (2026)

Exploring LLM Reasoning Through Controlled Prompt Variations
por: Chatziveroglou, Giannis, et al.
Publicado: (2025)

LLM Chemistry Estimation for Multi-LLM Recommendation
por: Sanchez, Huascar, et al.
Publicado: (2025)

Jump Starting Bandits with LLM-Generated Prior Knowledge
por: Alamdari, Parand A., et al.
Publicado: (2024)