Extreme Summarization
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Benchmarks
Most implemented
ByT5: Towards a token-free future with pre-trained byte-to-byte models
A Convolutional Attention Network for Extreme Summarization of Source Code
TLDR: Extreme Summarization of Scientific Documents
IndicBART: A Pre-trained Model for Indic Natural Language Generation
Papers
Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM
Current advancements in Natural Language Processing (NLP) have largely favored resource-rich languages, leaving a significant gap in high-quality datasets for low-resource languages like Hindi. This scarcity is particula…
Extreme SummarizationText SummarizationBOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notifications
The ability to summarize long documents succinctly is increasingly important in daily life due to information overload, yet there is a notable lack of such summaries for Spanish documents in general, and in the legal dom…
Extreme SummarizationDiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
Despite their growing capabilities, language models still frequently reproduce content from their training data, generate repetitive text, and favor common grammatical patterns and vocabulary. A possible cause is the dec…
DiversityExtreme SummarizationMathText GenerationAPEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
Knowledge graphs (KGs), which store an extensive number of relational facts, serve various applications. Recently, personalized knowledge graphs (PKGs) have emerged as a solution to optimize storage costs by customizing …
Extreme SummarizationKnowledge GraphsExplainable News Summarization -- Analysis and mitigation of Disagreement Problem
Explainable AI (XAI) techniques for text summarization provide valuable understanding of how the summaries are generated. Recent studies have highlighted a major challenge in this area, known as the disagreement problem.…
Extreme SummarizationNews SummarizationText SummarizationROUGE-K: Do Your Summaries Have Keywords?
Keywords, that is, content-relevant words in summaries play an important role in efficient information conveyance, making it critical to assess if system-generated summaries contain such informative words during evaluati…
Extreme Summarization