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

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Showing 151–200 of 846 papers

TitleStatusHype
Abstractive Text Summarization Based on Deep Learning and Semantic Content GeneralizationCode1
Pay Less Attention with Lightweight and Dynamic ConvolutionsCode1
Neural Abstractive Text Summarization with Sequence-to-Sequence ModelsCode1
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive SummarizationCode1
Bottom-Up Abstractive SummarizationCode1
Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingCode1
Deep Reinforcement Learning For Sequence to Sequence ModelsCode1
A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsCode1
A Deep Reinforced Model for Abstractive SummarizationCode1
Get To The Point: Summarization with Pointer-Generator NetworksCode1
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondCode1
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
A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization—0
Advancements in Natural Language Processing for Automatic Text Summarization—0
BRIDO: Bringing Democratic Order to Abstractive Summarization—0
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report SummarizationCode0
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs—0
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and ConsistencyCode0
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasksCode0
Can summarization approximate simplification? A gold standard comparison—0
Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches—0
Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges—0
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi—0
Survey on Abstractive Text Summarization: Dataset, Models, and MetricsCode0
Length Controlled Generation for Black-box LLMs—0
How Private are Language Models in Abstractive Summarization?—0
DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization—0
Guide-to-Explain for Controllable Summarization—0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning—0
Domain-specific Guided Summarization for Mental Health Posts—0
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions—0
Optimizing the role of human evaluation in LLM-based spoken document summarization systems—0
Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization—0
Systematic Exploration of Dialogue Summarization Approaches for Reproducibility, Comparative Assessment, and Methodological Innovations for Advancing Natural Language Processing in Abstractive Summarization—0
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text SummarizationCode0
When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries—0
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in MarathiCode0
Extra Global Attention Designation Using Keyword Detection in Sparse Transformer Architectures—0
A Novel LLM-based Two-stage Summarization Approach for Long Dialogues—0
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free MetricsCode0
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All datasetsCNN / Daily MailAbstractive Text Summarization from Il PostvietnewsAbstractive Text Summarization from FanpageEDUsumCNN/Daily MailMLSum-itWITSAESLCeLifeInshorts NewsMLSUM de

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Scrambled code + broken (alter)ROUGE-148.18—Unverified
2BRIOROUGE-147.78—Unverified
3PegasusROUGE-147.36—Unverified
4PEGASUS + SummaRerankerROUGE-147.16—Unverified
5Scrambled code + brokenROUGE-146.71—Unverified
6BART + SimCLSROUGE-146.67—Unverified
7SEASONROUGE-146.27—Unverified
8Fourier TransformerROUGE-144.76—Unverified
9GLM-XXLargeROUGE-144.7—Unverified
10BART + R-DropROUGE-144.51—Unverified
#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
#ModelMetricClaimedVerifiedStatus
1Kết quả nghiên cứuRouge-167.8—Unverified
2ViT5 largeRouge-163.37—Unverified
3ViT5 baseRouge-162.77—Unverified
4BARTphoRouge-161.14—Unverified
5mBARTRouge-159.81—Unverified
6mT5Rouge-158.05—Unverified
7TransformerRouge-157.56—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTROUGE-136.52—Unverified
2mBARTROUGE-136.5—Unverified
3BART-ITROUGE-135.42—Unverified
4mT5ROUGE-134.13—Unverified
5IT5-baseROUGE-133.99—Unverified
6IT5ROUGE-133.83—Unverified
#ModelMetricClaimedVerifiedStatus
1GP_Step_SimROUGE-164.48—Unverified
2NEZHAROUGE-163.91—Unverified
3RoBERTaROUGE-163.22—Unverified
4BERTROUGE-162.37—Unverified
5Seq2seqROUGE-148.62—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-144.47—Unverified
2SEGMENTROUGE-142.1—Unverified
3CriSPO 3-shotROUGE-142.1—Unverified
4Claude Instant + SigExtROUGE-142—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTrouge119.35—Unverified
2IT5rouge119.29—Unverified
3Pegasus-CNN/DM (eng-it translation)rouge116.97—Unverified
4Pegasus-XSum (eng-it translation)rouge115.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BART-ITROUGE-142.32—Unverified
2mT5ROUGE-140.6—Unverified
3mBARTROUGE-139.32—Unverified
4IT5-baseROUGE-137.98—Unverified
#ModelMetricClaimedVerifiedStatus
1PEGASUSROUGE-137.68—Unverified
2Multi-Stage Extractor/AbstractorROUGE-123.67—Unverified
#ModelMetricClaimedVerifiedStatus
1Two stage LLMsTest ROGUE-10.46—Unverified
#ModelMetricClaimedVerifiedStatus
1T2SAMROUGE48.5—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTMETEOR0.44—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTMETEOR0.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Two stage LLMsTest ROGUE-10.44—Unverified
#ModelMetricClaimedVerifiedStatus
1BertSumContent F129.8—Unverified