Cover Image

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aly, Walid Mohamed, Soliman, Taysir Hassan A., AbdelAziz, Amr Mohamed
Format:	Preprint
Published:	2025
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

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review
by: Croxford, Emma, et al.
Published: (2024)

Markovian Generation Chains in Large Language Models
by: Geng, Mingmeng, et al.
Published: (2026)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
by: Sun, Shichao, et al.
Published: (2024)

Evaluating Large Language Models for Real-World Engineering Tasks
by: Heesch, Rene, et al.
Published: (2025)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2024)

An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models
by: Janakiraman, Anantharaman, et al.
Published: (2025)

QUARTZ : QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization
by: Ghebriout, Mohamed Imed Eddine, et al.
Published: (2025)

NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task
by: Abdul-Mageed, Muhammad, et al.
Published: (2024)

Iterative Prompt Refinement for Dyslexia-Friendly Text Summarization Using GPT-4o
by: Bhojwani, Samay, et al.
Published: (2026)

Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT
by: Shakil, Hassan, et al.
Published: (2024)

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
by: He, Chengyang, et al.
Published: (2025)

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
by: Yang, Xinqi, et al.
Published: (2024)

Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
by: Zhang, Yang, et al.
Published: (2025)

GRAD-SUM: Leveraging Gradient Summarization for Optimal Prompt Engineering
by: Austin, Derek, et al.
Published: (2024)

A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
by: Jahan, Israt, et al.
Published: (2023)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)

Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets
by: Keleg, Amr, et al.
Published: (2024)

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
by: Lewis, Martha, et al.
Published: (2024)

Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study
by: Liu, Yinuo, et al.
Published: (2026)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
by: Jiang, Jiyue, et al.
Published: (2025)

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
by: Schulhoff, Sander, et al.
Published: (2024)

CORE-T: COherent REtrieval of Tables for Text-to-SQL
by: Soliman, Hassan, et al.
Published: (2026)

Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification
by: Han, Binglan, et al.
Published: (2025)

The dynamics of meaning through time: Assessment of Large Language Models
by: Alrefaie, Mohamed Taher, et al.
Published: (2025)

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)

Abstractive Text Summarization: State of the Art, Challenges, and Improvements
by: Shakil, Hassan, et al.
Published: (2024)

Exploring Iterative Controllable Summarization with Large Language Models
by: Ryu, Sangwon, et al.
Published: (2024)

Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models
by: Alzahrani, Abdurahmman, et al.
Published: (2024)

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
by: Schmitt, Marvin, et al.
Published: (2026)

Autonomous Prompt Engineering in Large Language Models
by: Kepel, Daan, et al.
Published: (2024)

Evaluating Ill-Defined Tasks in Large Language Models
by: Zhou, Yi, et al.
Published: (2026)

Aligning Language Models for Icelandic Legal Text Summarization
by: Harðarson, Þórir Hrafn, et al.
Published: (2025)

Towards Goal-oriented Prompt Engineering for Large Language Models: A Survey
by: Li, Haochen, et al.
Published: (2024)

$\texttt{COSMIC}$: Mutual Information for Task-Agnostic Summarization Evaluation
by: Darrin, Maxime, et al.
Published: (2024)

A Multi-Layered Large Language Model Framework for Disease Prediction
by: Mohamed, Malak, et al.
Published: (2025)

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

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
by: Chen, Weizhe, et al.
Published: (2024)

Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation
by: Saba, Walid, et al.
Published: (2024)