Cover Image

MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Mingrong, Deng, Ke, Wu, Zhengyang, Zheng, Zetao, Li, Jie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation
by: Li, Jie, et al.
Published: (2025)

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
by: Fu, Lingyue, et al.
Published: (2025)

Forget Forgetting: Continual Learning in a World of Abundant Memory
by: Cho, Dongkyu, et al.
Published: (2025)

Temporal Graph Memory Networks For Knowledge Tracing
by: Gad, Seif, et al.
Published: (2024)

MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
by: Bhattacharjee, Indronil, et al.
Published: (2026)

Memory Caching: RNNs with Growing Memory
by: Behrouz, Ali, et al.
Published: (2026)

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
by: Li, Gen, et al.
Published: (2025)

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
by: Deng, Xinle, et al.
Published: (2026)

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

EMP: Enhance Memory in Data Pruning
by: Xiao, Jinying, et al.
Published: (2024)

Forgetful but Faithful: A Cognitive Memory Architecture and Benchmark for Privacy-Aware Generative Agents
by: Alqithami, Saad
Published: (2025)

MARK: Memory Augmented Refinement of Knowledge
by: Ganguli, Anish, et al.
Published: (2025)

Learning to Forget: Sleep-Inspired Memory Consolidation for Resolving Proactive Interference in Large Language Models
by: Xie, Ying
Published: (2026)

Stateless Yet Not Forgetful: Implicit Memory as a Hidden Channel in LLMs
by: Salem, Ahmed, et al.
Published: (2026)

Integrating Knowledge Distillation Methods: A Sequential Multi-Stage Framework
by: Tian, Yinxi, et al.
Published: (2026)

Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality
by: Liu, Jie, et al.
Published: (2024)

Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
by: Cheng, Shaoxu, et al.
Published: (2024)

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
by: Miao, Jiaxing, et al.
Published: (2024)

Model-to-Model Knowledge Transmission (M2KT): A Data-Free Framework for Cross-Model Understanding Transfer
by: Sorte, Pratham
Published: (2025)

A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
by: Kolipaka, Varshita, et al.
Published: (2024)

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs
by: Mao, Yuzhen, et al.
Published: (2026)

Identity Bridge: Enabling Implicit Reasoning via Shared Latent Memory
by: Lin, Pengxiao, et al.
Published: (2025)

Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
by: Polowczyk, Agnieszka, et al.
Published: (2025)

AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
by: Lee, Seunghan, et al.
Published: (2026)

Temporal Knowledge-Graph Memory in a Partially Observable Environment
by: Kim, Taewoon, et al.
Published: (2024)

Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
by: Park, Sangjun, et al.
Published: (2023)

MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
by: Chang, Yurui, et al.
Published: (2026)

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
by: Zhao, Zhe, et al.
Published: (2024)

Context Distillation as Latent Memory Management
by: Zheng, Ziyang, et al.
Published: (2026)

Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
by: Mittal, Avni
Published: (2026)

Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
by: Li, Haoran, et al.
Published: (2025)

Task-Core Memory Management and Consolidation for Long-term Continual Learning
by: Huai, Tianyu, et al.
Published: (2025)

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
by: Han, Donghee, et al.
Published: (2025)

Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
by: Pons, Gerard, et al.
Published: (2026)

Discrete Prototypical Memories for Federated Time Series Foundation Models
by: Deng, Liwei, et al.
Published: (2026)

MeSH: Memory-as-State-Highways for Recursive Transformers
by: Yu, Chengting, et al.
Published: (2025)

Information-Theoretic Dual Memory System for Continual Learning
by: Wu, RunQing, et al.
Published: (2025)

Choosing How to Remember: Adaptive Memory Structures for LLM Agents
by: Lu, Mingfei, et al.
Published: (2026)

Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
by: Pethkar, Kaustubh, et al.
Published: (2026)

Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
by: Wang, Changsheng, et al.
Published: (2025)