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 451–500 of 846 papers

TitleStatusHype
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization—0
A Unified and Efficient Contrastive Learning Framework for Text Summarization—0
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and DocumentsCode0
Generating Diverse and High-Quality Abstractive Summaries with Variational Transformers—0
Controlling Pretrained Language Generation Models by Learning to Focus—0
Generation of News Articles from Tweets : An Experiment—0
Unsupervised Multi-Granularity Summarization—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering—0
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle—0
Event Graph based Sentence Fusion—0
Exploring Multitask Learning for Low-Resource Abstractive SummarizationCode0
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models—0
ForumSum: A Multi-Speaker Conversation Summarization Dataset—0
Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization—0
Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization—0
Just Ask! Evaluating Machine Translation by Asking and Answering QuestionsCode0
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive SummarizationCode0
AUTOSUMM: Automatic Model Creation for Text Summarization—0
A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual SummarizationCode0
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization—0
Sentence-level Planning for Especially Abstractive SummarizationCode0
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization—0
Summarization of German Court RulingsCode0
Using Question Answering Rewards to Improve Abstractive SummarizationCode0
s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning—0
Learning Rich Representation of Keyphrases from Text—0
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization—0
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue—0
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation—0
Attention Temperature Matters in Abstractive Summarization Distillation—0
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization—0
Modeling Endorsement for Multi-Document Abstractive SummarizationCode0
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?—0
DictFormer: Tiny Transformer with Shared Dictionary—0
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models—0
Enriching and Controlling Global Semantics for Text Summarization—0
Recursively Summarizing Books with Human Feedback—0
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationCode0
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization—0
Measuring Factual Consistency of Abstractive Summaries—0
Exploring Multitask Learning for Low-Resource AbstractiveSummarization—0
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization—0
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation—0
Augmented Abstractive Summarization With Document-LevelSemantic Graph—0
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems—0
On Reducing Repetition in Abstractive Summarization—0
Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models—0
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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