Copertina

FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Junyi, Liu, Shuochen, Yu, Yu, Tang, Bo, Yan, Yibo, Li, Zhiyu, Xiong, Feiyu, Xu, Tong, Blaschko, Matthew B.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles
di: Wang, Zifu, et al.
Pubblicazione: (2025)

MemFactory: Unified Inference & Training Framework for Agent Memory
di: Guo, Ziliang, et al.
Pubblicazione: (2026)

MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
di: Li, Chunyu, et al.
Pubblicazione: (2026)

MemReader: From Passive to Active Extraction for Long-Term Agent Memory
di: Kang, Jingyi, et al.
Pubblicazione: (2026)

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

Grimoire is All You Need for Enhancing Large Language Models
di: Chen, Ding, et al.
Pubblicazione: (2024)

HaluMem: Evaluating Hallucinations in Memory Systems of Agents
di: Chen, Ding, et al.
Pubblicazione: (2025)

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
di: Yu, Qingchen, et al.
Pubblicazione: (2024)

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
di: Chen, Yining, et al.
Pubblicazione: (2026)

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
di: Liu, Shuochen, et al.
Pubblicazione: (2026)

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
di: Liskavets, Barys, et al.
Pubblicazione: (2024)

Learn from the Past: Fast Sparse Indexing for Large Language Model Decoding
di: Yao, Feiyu, et al.
Pubblicazione: (2025)

Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models
di: Zhang, Yang, et al.
Pubblicazione: (2025)

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models
di: Hong, Chunsan, et al.
Pubblicazione: (2024)

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
di: Li, Zhiyu, et al.
Pubblicazione: (2025)

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
di: Lyu, Yuanjie, et al.
Pubblicazione: (2024)

Attention Heads of Large Language Models: A Survey
di: Zheng, Zifan, et al.
Pubblicazione: (2024)

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
di: Zhu, Yu, et al.
Pubblicazione: (2024)

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
di: Liang, Xun, et al.
Pubblicazione: (2024)

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
di: Vladika, Juraj, et al.
Pubblicazione: (2025)

MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
di: Liao, Junwei, et al.
Pubblicazione: (2026)

SwiftMem: Fast Agentic Memory via Query-aware Indexing
di: Tian, Anxin, et al.
Pubblicazione: (2026)

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
di: Liu, Enshu, et al.
Pubblicazione: (2024)

GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
di: Yu, Qingchen, et al.
Pubblicazione: (2025)

Generalizability of Memorization Neural Networks
di: Yu, Lijia, et al.
Pubblicazione: (2024)

VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents
di: Chen, Yuhao, et al.
Pubblicazione: (2026)

MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
di: Zhang, Shengtao, et al.
Pubblicazione: (2026)

Probing the Bias of Large-Scale Structure with Unlocalized Fast Radio Bursts
di: Su, Yu-Tong, et al.
Pubblicazione: (2026)

On Memorization of Large Language Models in Logical Reasoning
di: Xie, Chulin, et al.
Pubblicazione: (2024)

UniMem: Towards a Unified View of Long-Context Large Language Models
di: Fang, Junjie, et al.
Pubblicazione: (2024)

Memorization-Compression Cycles Improve Generalization
di: Yu, Fangyuan
Pubblicazione: (2025)

Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision Support
di: Xu, Haowen, et al.
Pubblicazione: (2025)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
di: Wang, Zhepeng, et al.
Pubblicazione: (2024)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
di: Liu, Hao, et al.
Pubblicazione: (2025)

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
di: Liu, Hongyi, et al.
Pubblicazione: (2026)

Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective
di: Gui, Jie, et al.
Pubblicazione: (2024)

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering
di: Zhu, Yuanjie, et al.
Pubblicazione: (2025)

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
di: Xu, Derong, et al.
Pubblicazione: (2026)

HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability
di: Chen, Yanfang, et al.
Pubblicazione: (2024)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
di: Xu, Xun
Pubblicazione: (2026)