Abstractive Text Summarization
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Benchmarks
CNN / Daily Mail
vietnews
EDUsum
CNN/Daily Mail
MLSum-it
WITS
AESLC
Inshorts News
MLSUM de
MLSUM es
PLOS
WikiHow
eLife
Most implemented
Attention Is All You Need
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Get To The Point: Summarization with Pointer-Generator Networks
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Text Summarization with Pretrained Encoders
A Deep Reinforced Model for Abstractive Summarization
Papers
Optimizing Abstractive Summarization With Fine-Tuned PEGASUS
Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a subset of the salient sentences from the source text. The introduct…
Abstractive Text SummarizationDetect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning
Training-time data poisoning during fine-tuning poses a significant threat to large language models (LLMs) deployed for abstractive text summarization, where small task-specific datasets exert disproportionate influence …
Abstractive Text SummarizationMASF: A Multi-Model Adaptive Selection Framework for Abstractive Text summarization
Automatic text summarization has become increasingly important due to the rapid growth of digital textual information. This paper presents a Multi-Model Adaptive Summarization Framework designed to improve the robustness…
Abstractive Text SummarizationMultiBanAbs: A Comprehensive Multi-Domain Bangla Abstractive Text Summarization Dataset
This study developed a new Bangla abstractive summarization dataset to generate concise summaries of Bangla articles from diverse sources. Most existing studies in this field have concentrated on news articles, where jou…
Abstractive Text SummarizationTransfer LearningStress Testing Factual Consistency Metrics for Long-Document Summarization
Evaluating the factual consistency of abstractive text summarization remains a significant challenge, particularly for long documents, where conventional metrics struggle with input length limitations and long-range depe…
Abstractive Text SummarizationDocument SummarizationInforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
Abstractive text summarization is integral to the Big Data era, which demands advanced methods to turn voluminous and often long text data into concise but coherent and informative summaries for efficient human consumpti…
Abstractive Text Summarization