SOTAVerified

Abstractive Text Summarization

Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.

Source: Generative Adversarial Network for Abstractive Text Summarization

Image credit: Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Papers

Showing 1–10 of 846 papers

TitleStatusHype
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs—0
Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation QualityCode0
Enhancing Abstractive Summarization of Scientific Papers Using Structure InformationCode0
Low-Resource Language Processing: An OCR-Driven Summarization and Translation PipelineCode0
ProdRev: A DNN framework for empowering customers using generative pre-trained transformers—0
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource SettingCode0
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer PharmacovigilanceCode0
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
ARLED: Leveraging LED-based ARMAN Model for Abstractive Summarization of Persian Long Documents—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1mBARTROUGE-138.91—Unverified
2mBARTROUGE-138.91—Unverified
3BART-ITROUGE-137.31—Unverified
4mT5ROUGE-135.04—Unverified
5IT5ROUGE-133.78—Unverified
6IT5-baseROUGE-132.88—Unverified
7Pegasus-CNN/DM (eng-it translation)ROUGE-123.96—Unverified
8Pegasus-XSum (eng-it translation)ROUGE-121.03—Unverified