Cover Image

Can summarization approximate simplification? A gold standard comparison

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Magnifico, Giacomo, Barbu, Eduard
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emerging categories in scientific explanations
by: Magnifico, Giacomo, et al.
Published: (2025)

Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
by: Domnich, Marharyta, et al.
Published: (2024)

Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
by: Barbu, Eduard, et al.
Published: (2025)

Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets
by: Barbu, Eduard, et al.
Published: (2025)

Frex: dependently-typed algebraic simplification
by: Allais, Guillaume, et al.
Published: (2023)

Event-based evaluation of abstractive news summarization
by: You, Huiling, et al.
Published: (2025)

Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language
by: Jimoh, Toheeb Aduramomi, et al.
Published: (2026)

Factual consistency evaluation of summarization in the Era of large language models
by: Luo, Zheheng, et al.
Published: (2024)

Text summarization via global structure awareness
by: Zhang, Jiaquan, et al.
Published: (2026)

Can large audio language models understand child stuttering speech? speech summarization, and source separation
by: Okocha, Chibuzor, et al.
Published: (2025)

The current status of large language models in summarizing radiology report impressions
by: Hu, Danqing, et al.
Published: (2024)

FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
by: Scirè, Alessandro, et al.
Published: (2024)

FRACCO: A gold-standard annotated corpus of oncological entities with ICD-O-3.1 normalisation
by: Pignat, Johann, et al.
Published: (2025)

Leveraging language models for summarizing mental state examinations: A comprehensive evaluation and dataset release
by: Sahu, Nilesh Kumar, et al.
Published: (2024)

FABLES: Evaluating faithfulness and content selection in book-length summarization
by: Kim, Yekyung, et al.
Published: (2024)

Panacea: A foundation model for clinical trial search, summarization, design, and recruitment
by: Lin, Jiacheng, et al.
Published: (2024)

Abstractive summarization from Audio Transcription
by: Derkach, Ilia
Published: (2024)

Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
by: Chen, Zhihong, et al.
Published: (2022)

Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks
by: Akani, Eunice, et al.
Published: (2024)

QFS-Composer: Query-focused summarization pipeline for less resourced languages
by: Đuranović, Vuk, et al.
Published: (2026)

BooookScore: A systematic exploration of book-length summarization in the era of LLMs
by: Chang, Yapei, et al.
Published: (2023)

A dataset and benchmark for hospital course summarization with adapted large language models
by: Aali, Asad, et al.
Published: (2024)

Long document summarization using page specific target text alignment and distilling page importance
by: Devi, Pushpa, et al.
Published: (2025)

Closing the gap between open-source and commercial large language models for medical evidence summarization
by: Zhang, Gongbo, et al.
Published: (2024)

An empirical evaluation of using ChatGPT to summarize disputes for recommending similar labor and employment cases in Chinese
by: Wu, Po-Hsien, et al.
Published: (2024)

AugSumm: towards generalizable speech summarization using synthetic labels from large language model
by: Jung, Jee-weon, et al.
Published: (2024)

Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection
by: Mahmudi, Aso, et al.
Published: (2024)

Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
by: Petersen, Molly R., et al.
Published: (2023)

Optimizing the role of human evaluation in LLM-based spoken document summarization systems
by: Kroll, Margaret, et al.
Published: (2024)

Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation
by: Kriman, N. E.
Published: (2024)

WikiNER-fr-gold: A Gold-Standard NER Corpus
by: Cao, Danrun, et al.
Published: (2024)

Cyclic Ablation: Testing Concept Localization against Functional Regeneration in AI
by: Kapelko, Eduard
Published: (2025)

Baba Is AI: Break the Rules to Beat the Benchmark
by: Cloos, Nathan, et al.
Published: (2024)

Network of Theseus (like the ship)
by: Subramaniam, Vighnesh, et al.
Published: (2025)

A tree interpretation of arc standard dependency derivation
by: Huang, Zihao, et al.
Published: (2026)

Using Multimodal Deep Neural Networks to Disentangle Language from Visual Aesthetics
by: Conwell, Colin, et al.
Published: (2024)

SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data
by: Alabdulkareem, Abdulrahman, et al.
Published: (2024)

A comparison of translation performance between DeepL and Supertext
by: Flückiger, Alex, et al.
Published: (2025)

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
by: Guida, Matteo, et al.
Published: (2025)

The Overlooked Repetitive Lengthening Form in Sentiment Analysis
by: Wang, Lei, et al.
Published: (2026)