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 201–250 of 846 papers

TitleStatusHype
mFACE: Multilingual Summarization with Factual Consistency Evaluation—0
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise—0
EIT: Enhanced Interactive TransformerCode0
Inverse Reinforcement Learning for Text Summarization—0
Unsupervised Summarization Re-rankingCode0
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences—0
Advancing Multilingual Pre-training: TRIP Triangular Document-level Pre-training for Multilingual Language Models—0
Summary-Oriented Vision Modeling for Multimodal Abstractive SummarizationCode1
Momentum Calibration for Text Generation—0
Document-Level Abstractive SummarizationCode0
KATSum: Knowledge-aware Abstractive Text Summarization—0
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization—0
CoP: Factual Inconsistency Detection by Controlling the PreferenceCode0
Unsupervised Opinion Summarisation in the Wasserstein Space—0
Summarizing Community-based Question-Answer Pairs—0
Abstractive Summarization Guided by Latent Hierarchical Document StructureCode1
ED-FAITH: Evaluating Dialogue Summarization on Faithfulness—0
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection—0
Evaluating and Improving Factuality in Multimodal Abstractive SummarizationCode1
Automatic Generation of Abstracts for Research Papers—0
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness—0
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency—0
How Far are We from Robust Long Abstractive Summarization?Code1
Improving abstractive summarization with energy-based re-rankingCode0
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
Universal Evasion Attacks on Summarization ScoringCode0
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and SummarizationCode0
Mutual Information Alleviates Hallucinations in Abstractive SummarizationCode1
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model InfillingCode1
Salience Allocation as Guidance for Abstractive SummarizationCode1
Towards Summary Candidates FusionCode0
Legal Case Document Summarization: Extractive and Abstractive Methods and their EvaluationCode2
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based MethodsCode0
Shortcomings of Question Answering Based Factuality Frameworks for Error LocalizationCode0
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive SummarizationCode0
Towards Improving Faithfulness in Abstractive SummarizationCode1
Probing of Quantitative Values in Abstractive Summarization Models—0
Faithful Abstractive Summarization via Fact-aware Consistency-constrained TransformerCode0
Abstractive Approaches To Multidocument Summarization Of Medical Literature Reviews—0
Source-summary Entity Aggregation in Abstractive Summarization—0
LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
Out-of-Distribution Detection and Selective Generation for Conditional Language Models—0
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular TreesCode1
A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary GenerationCode0
Harnessing Abstractive Summarization for Fact-Checked Claim DetectionCode0
Applying Transformer-based Text Summarization for Keyphrase Generation—0
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive SummarizationCode1
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual ConsistencyCode0
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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