Cover Image

Unraveling the Capabilities of Language Models in News Summarization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Odabaşı, Abdurrahman, Biricik, Göksel
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

Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation
by: Süleyman, Ahmad, et al.
Published: (2025)

Automated Code Review Using Large Language Models with Symbolic Reasoning
by: Icoz, Busra, et al.
Published: (2025)

Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
by: Xu, Borui, et al.
Published: (2025)

AutoReason: Automatic Few-Shot Reasoning Decomposition
by: Sevinc, Arda, et al.
Published: (2024)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
by: Lu, Yen-Ju, et al.
Published: (2025)

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

An Empirical Study of Many-to-Many Summarization with Large Language Models
by: Wang, Jiaan, et al.
Published: (2025)

TrueBrief: Faithful Summarization through Small Language Models
by: Lakara, Kumud, et al.
Published: (2025)

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)

Cross-Lingual Conversational Speech Summarization with Large Language Models
by: Nelson, Max, et al.
Published: (2024)

CNsum:Automatic Summarization for Chinese News Text
by: Zhao, Yu, et al.
Published: (2025)

DiscoSum: Discourse-aware News Summarization
by: Spangher, Alexander, et al.
Published: (2025)

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
by: Deroy, Aniket, et al.
Published: (2024)

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

LLaMandement: Large Language Models for Summarization of French Legislative Proposals
by: Gesnouin, Joseph, et al.
Published: (2024)

Forecasting Frontier Language Model Agent Capabilities
by: Pimpale, Govind, et al.
Published: (2025)

Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System
by: Muhaimin, Sheikh Samit, et al.
Published: (2025)

Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
by: Fonseca, Marcio, et al.
Published: (2024)

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
by: Wei, Lingxiao, et al.
Published: (2024)

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
by: Wang, Qingyue, et al.
Published: (2023)

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
by: Li, Miao, et al.
Published: (2024)

Reasoning Capabilities of Large Language Models on Dynamic Tasks
by: Wong, Annie, et al.
Published: (2025)

Do Large Language Models Know What They Are Capable Of?
by: Barkan, Casey O., et al.
Published: (2025)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, et al.
Published: (2024)

Unlocking Prompt Infilling Capability for Diffusion Language Models
by: Fujinuma, Yoshinari, et al.
Published: (2026)

Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)

On the Use of Large Language Models to Generate Capability Ontologies
by: da Silva, Luis Miguel Vieira, et al.
Published: (2024)

Exploring the Learning Capabilities of Language Models using LEVERWORLDS
by: Wagner, Eitan, et al.
Published: (2024)

Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
by: Urlana, Ashok, et al.
Published: (2023)

Preservation of Language Understanding Capabilities in Speech-aware Large Language Models
by: Kubis, Marek, et al.
Published: (2025)

Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
by: Pauli, Amalie Brogaard, et al.
Published: (2024)

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
by: Feng, Huawen, et al.
Published: (2023)

Comparing Approaches to Automatic Summarization in Less-Resourced Languages
by: Palen-Michel, Chester, et al.
Published: (2025)

Language-Independent Representations Improve Zero-Shot Summarization
by: Solovyev, Vladimir, et al.
Published: (2024)

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026)

IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
by: Cao, Jie, 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)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)