Image de couverture de livre

Retention Consequence in Lifecycle Memory Control

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Han, Jiarui
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression
par: Wang, Xiaoqiang, et autres
Publié: (2025)

Surgical Post-Training: Proximal On-Policy Distillation for Reasoning with Knowledge Retention
par: Lin, Wenye, et autres
Publié: (2026)

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
par: Cao, Jiaqi, et autres
Publié: (2025)

Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
par: Chawla, Kushal, et autres
Publié: (2026)

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
par: Lei, Fangyu, et autres
Publié: (2025)

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
par: Liu, Hongyi, et autres
Publié: (2026)

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
par: Wu, Rong, et autres
Publié: (2025)

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
par: Cao, Boxi, et autres
Publié: (2023)

The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
par: Kraft, Angelie, et autres
Publié: (2022)

Guided Profile Generation Improves Personalization with LLMs
par: Zhang, Jiarui
Publié: (2024)

Cognitive Control Architecture (CCA): A Lifecycle Supervision Framework for Robustly Aligned AI Agents
par: Liang, Zhibo, et autres
Publié: (2025)

RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction
par: Liu, Sihao, et autres
Publié: (2026)

Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs
par: Zhang, Ruicheng, et autres
Publié: (2026)

EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research
par: Yue, Houping, et autres
Publié: (2026)

Retention analysis of edited knowledge after fine-tuning
par: Wen, Fufang, et autres
Publié: (2025)

Beyond Perplexity: A Lightweight Benchmark for Knowledge Retention in Supervised Fine-Tuning
par: Shabgahi, Soheil Zibakhsh, et autres
Publié: (2026)

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
par: Li, Jianwei, et autres
Publié: (2023)

Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction
par: Liu, Yijun, et autres
Publié: (2025)

FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4
par: Yao, Jiarui, et autres
Publié: (2025)

Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Consequences of Incidental Thyroid Findings
par: Larios, Felipe, et autres
Publié: (2025)

The Differential Meaning of Models: A Framework for Analyzing the Structural Consequences of Semantic Modeling Decisions
par: Stine, Zachary K., et autres
Publié: (2025)

Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memory
par: Hu, Sen, et autres
Publié: (2026)

Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
par: Jiang, Changhao, et autres
Publié: (2025)

Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation
par: Rana, Ashish, et autres
Publié: (2026)

Small Edits, Big Consequences: Telling Good from Bad Robustness in Large Language Models
par: Ismailov, Altynbek, et autres
Publié: (2025)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
par: Feng, Jiarui, et autres
Publié: (2025)

MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models
par: Ottem, Andreas
Publié: (2025)

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
par: Tran, Hieu, et autres
Publié: (2025)

NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retention
par: Li, Baixuan, et autres
Publié: (2024)

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
par: Ouyang, Siru, et autres
Publié: (2025)

Belief Memory: Agent Memory Under Partial Observability
par: Liao, Junfeng, et autres
Publié: (2026)

Contextual Agentic Memory is a Memo, Not True Memory
par: Xu, Binyan, et autres
Publié: (2026)

PsyMem: Fine-grained psychological alignment and Explicit Memory Control for Advanced Role-Playing LLMs
par: Cheng, Xilong, et autres
Publié: (2025)

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning
par: Shen, Jingyan, et autres
Publié: (2025)

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models
par: Ye, Jiancheng, et autres
Publié: (2025)

Adaptive Memory Admission Control for LLM Agents
par: Zhang, Guilin, et autres
Publié: (2026)

Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering
par: Liu, Boyuan, et autres
Publié: (2025)

Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues
par: Hu, Chuanrui, et autres
Publié: (2026)

MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
par: Li, Zihan, et autres
Publié: (2026)

RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
par: Bian, Haonan, et autres
Publié: (2026)