Copertina

Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rafiuddin, S M, Khan, Muntaha Nujat
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Structured Token Retention and Computational Memory Paths in Large Language Models
di: Delena, Jonathan, et al.
Pubblicazione: (2025)

Ranking of Bangla Word Graph using Graph-based Ranking Algorithms
di: Rafiuddin, S M
Pubblicazione: (2025)

A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network
di: Razin, Md. Jahidul Islam, et al.
Pubblicazione: (2025)

Performance Analysis of Supervised Machine Learning Algorithms for Text Classification
di: Mishu, Sadia Zaman, et al.
Pubblicazione: (2025)

Retention Consequence in Lifecycle Memory Control
di: Han, Jiarui
Pubblicazione: (2026)

Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory
di: Sun, Jingwei, et al.
Pubblicazione: (2026)

Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
di: Rafiuddin, S M, et al.
Pubblicazione: (2024)

Mem-$π$: Adaptive Memory through Learning When and What to Generate
di: Wang, Xiaoqiang, et al.
Pubblicazione: (2026)

Adaptive Focus Memory for Language Models
di: Cruz, Christopher
Pubblicazione: (2025)

Language Model Memory and Memory Models for Language
di: Badger, Benjamin L.
Pubblicazione: (2026)

If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?
di: Yoshida, Ryo, et al.
Pubblicazione: (2025)

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents
di: Al-Tawaha, Ahmad, et al.
Pubblicazione: (2026)

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
di: Rafiuddin, S M, et al.
Pubblicazione: (2025)

MLP Memory: A Retriever-Pretrained Memory for Large Language Models
di: Wei, Rubin, et al.
Pubblicazione: (2025)

MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
di: Cheng, Hongrong, et al.
Pubblicazione: (2024)

KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models
di: Lv, Bo, et al.
Pubblicazione: (2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
di: Borenstein, Nadav, et al.
Pubblicazione: (2024)

Memory-based Language Models: An Efficient, Explainable, and Eco-friendly Approach to Large Language Modeling
di: Bosch, Antal van den, et al.
Pubblicazione: (2025)

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models
di: Vendrell, Victor Conchello, et al.
Pubblicazione: (2026)

In-Memory Learning: A Declarative Learning Framework for Large Language Models
di: Wang, Bo, et al.
Pubblicazione: (2024)

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
di: Xu, Ziwen, et al.
Pubblicazione: (2026)

Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
di: Yu, Yi, et al.
Pubblicazione: (2026)

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
di: Paruchuri, Akshay, et al.
Pubblicazione: (2024)

Adaptive Memory Replay for Continual Learning
di: Smith, James Seale, et al.
Pubblicazione: (2024)

Schrodinger's Memory: Large Language Models
di: Wang, Wei, et al.
Pubblicazione: (2024)

How Do Multilingual Language Models Remember Facts?
di: Fierro, Constanza, et al.
Pubblicazione: (2024)

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
di: Cao, Zouying, et al.
Pubblicazione: (2025)

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory
di: Cheng, Runxi, et al.
Pubblicazione: (2026)

Language Modeling With Factorization Memory
di: Xiong, Lee, et al.
Pubblicazione: (2025)

R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression
di: Wang, Xiaoqiang, et al.
Pubblicazione: (2025)

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
di: Suzgun, Mirac, et al.
Pubblicazione: (2025)

Text2Mem: A Unified Memory Operation Language for Memory Operating System
di: Wang, Yi, et al.
Pubblicazione: (2025)

Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
di: Yan, Sikuan, et al.
Pubblicazione: (2025)

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
di: Cao, Jiaqi, et al.
Pubblicazione: (2025)

TernaryLM: Memory-Efficient Language Modeling via Native 1.5-Bit Quantization with Adaptive Layer-wise Scaling
di: Nargund, Nisharg, et al.
Pubblicazione: (2026)

Cognitive Memory in Large Language Models
di: Shan, Lianlei, et al.
Pubblicazione: (2025)

The Mosaic Memory of Large Language Models
di: Shilov, Igor, et al.
Pubblicazione: (2024)

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA
di: He, Xinjie, et al.
Pubblicazione: (2026)

Interweaving Memories of a Siamese Large Language Model
di: Song, Xin, et al.
Pubblicazione: (2024)

Disentangling Memory and Reasoning Ability in Large Language Models
di: Jin, Mingyu, et al.
Pubblicazione: (2024)