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
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text SummarizationCode1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive SummarizationCode1
Balancing Lexical and Semantic Quality in Abstractive SummarizationCode1
Unsupervised Opinion Summarization with Content PlanningCode1
BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text SummarizationCode1
BARTpho: Pre-trained Sequence-to-Sequence Models for VietnameseCode1
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringCode1
Benchmarking the Generation of Fact Checking ExplanationsCode1
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence GenerationCode1
Sequence Level Contrastive Learning for Text SummarizationCode1
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance ParaphrasingCode0
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource SettingCode0
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial NetworksCode0
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive SummarizationCode0
A Simple, Fast Diverse Decoding Algorithm for Neural GenerationCode0
Abstractive Document Summarization without Parallel DataCode0
Learning towards Abstractive Timeline SummarizationCode0
Inducing Document Structure for Aspect-based SummarizationCode0
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point ProcessesCode0
Inducing Causal Structure for Abstractive Text SummarizationCode0
Joint Parsing and Generation for Abstractive SummarizationCode0
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text SummarizationCode0
Improving Summarization with Human EditsCode0
Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationCode0
Scoring Sentence Singletons and Pairs for Abstractive SummarizationCode0
Improving Factuality of Abstractive Summarization without Sacrificing Summary QualityCode0
Improving Truthfulness of Headline GenerationCode0
Just Ask! Evaluating Machine Translation by Asking and Answering QuestionsCode0
Learning with Rejection for Abstractive Text SummarizationCode0
Improve Query Focused Abstractive Summarization by Incorporating Answer RelevanceCode0
Active Learning for Abstractive Text SummarizationCode0
IMPROVING ABSTRACTIVE SUMMARIZATION WITH SEGMENT-AUGMENTED AND POSITION-AWARENESS (ACLing2021)Code0
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue ActsCode0
ACLSum: A New Dataset for Aspect-based Summarization of Scientific PublicationsCode0
Improved Document Modelling with a Neural Discourse ParserCode0
Improving abstractive summarization with energy-based re-rankingCode0
A Cascade Approach to Neural Abstractive Summarization with Content Selection and FusionCode0
Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsCode0
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype EditingCode0
A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual SummarizationCode0
Abstractive Dialog Summarization with Semantic ScaffoldsCode0
HistAlign: Improving Context Dependency in Language Generation by Aligning with HistoryCode0
Harnessing Abstractive Summarization for Fact-Checked Claim DetectionCode0
HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewCode0
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationCode0
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error AnalysisCode0
GreekT5: A Series of Greek Sequence-to-Sequence Models for News SummarizationCode0
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning RepresentationCode0
Personalized Abstractive Summarization by Tri-agent Generation PipelineCode0
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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