Cover Image

Large Language Models Prompting With Episodic Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Do, Dai, Tran, Quan, Venkatesh, Svetha, Le, Hung
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
by: Do, Dai, et al.
Published: (2025)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory
by: Le, Hung, et al.
Published: (2024)

Multi-Reference Preference Optimization for Large Language Models
by: Le, Hung, et al.
Published: (2024)

SimSMoE: Solving Representational Collapse via Similarity Measure
by: Do, Giang, et al.
Published: (2024)

Episodic Memories Generation and Evaluation Benchmark for Large Language Models
by: Huet, Alexis, et al.
Published: (2025)

Echo: A Large Language Model with Temporal Episodic Memory
by: Liu, WenTao, et al.
Published: (2025)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
by: Le, Hung, et al.
Published: (2025)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)

Continual Fine-Tuning of Large Language Models via Program Memory
by: Le, Hung, et al.
Published: (2026)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)

Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting
by: To, Bang Trinh Tran, et al.
Published: (2025)

Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue
by: Kim, Sangyeop, et al.
Published: (2025)

Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)

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

Auto-Prompting with Retrieval Guidance for Frame Detection in Logistics
by: Duc, Do Minh, et al.
Published: (2025)

EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
by: Chaudhury, Subhajit, et al.
Published: (2025)

Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces
by: Rajesh, Shreyas, et al.
Published: (2025)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)

Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
by: Santos, Gabriel Machado, et al.
Published: (2025)

Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)

Unveiling and Manipulating Prompt Influence in Large Language Models
by: Feng, Zijian, et al.
Published: (2024)

Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

Prompt-based Depth Pruning of Large Language Models
by: Wee, Juyun, et al.
Published: (2025)

Prompt-Based Value Steering of Large Language Models
by: Abbo, Giulio Antonio, et al.
Published: (2025)

An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)

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

Empowering Working Memory for Large Language Model Agents
by: Guo, Jing, et al.
Published: (2023)

Continual Learning Using Only Large Language Model Prompting
by: Qiu, Jiabao, et al.
Published: (2024)

Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
by: Castagnari, Elisa, et al.
Published: (2024)

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
by: Castillo-Bolado, David, et al.
Published: (2024)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)

Large Language Models Vote: Prompting for Rare Disease Identification
by: Oniani, David, et al.
Published: (2023)

Prompt Programming for Cultural Bias and Alignment of Large Language Models
by: Eren, Maksim, et al.
Published: (2026)

Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
by: Li, Xuan, et al.
Published: (2025)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)