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 101150 of 846 papers

TitleStatusHype
Neural Abstractive Text Summarization with Sequence-to-Sequence ModelsCode1
Neural Abstractive Unsupervised Summarization of Online News DiscussionsCode1
Abstractive Summarization Guided by Latent Hierarchical Document StructureCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Deep Reinforcement Learning For Sequence to Sequence ModelsCode1
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document SummarizationCode1
Q-learning with Language Model for Edit-based Unsupervised SummarizationCode1
R-Drop: Regularized Dropout for Neural NetworksCode1
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained GenerationCode1
Salience Allocation as Guidance for Abstractive SummarizationCode1
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative TransformersCode1
Summaformers @ LaySumm 20, LongSumm 20Code1
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular TreesCode1
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument MiningCode1
Control Prefixes for Parameter-Efficient Text GenerationCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text SummarizationCode1
Synthesizer: Rethinking Self-Attention in Transformer ModelsCode1
Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific LiteratureCode1
The Factual Inconsistency Problem in Abstractive Text Summarization: A SurveyCode1
Asking and Answering Questions to Evaluate the Factual Consistency of SummariesCode1
A Deep Reinforced Model for Abstractive SummarizationCode1
A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsCode1
Towards Abstractive Grounded Summarization of Podcast TranscriptsCode1
Towards Improving Faithfulness in Abstractive SummarizationCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
Balancing Lexical and Semantic Quality in Abstractive SummarizationCode1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument MiningCode1
Controlling Conditional Language Models without Catastrophic ForgettingCode1
Detecting Hallucinated Content in Conditional Neural Sequence GenerationCode1
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model InfillingCode1
Cross-Lingual Abstractive Summarization with Limited Parallel ResourcesCode1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
Abstractive Meeting Summarization: A SurveyCode1
FactGraph: Evaluating Factuality in Summarization with Semantic Graph RepresentationsCode1
Attention Temperature Matters in Abstractive Summarization DistillationCode1
DYLE: Dynamic Latent Extraction for Abstractive Long-Input SummarizationCode1
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text SummarizationCode1
Enriching Transformers with Structured Tensor-Product Representations for Abstractive SummarizationCode1
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationCode1
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence GenerationCode1
Abstractive Summarization of Spoken and Written Instructions with BERTCode1
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text SummarizationCode1
Benchmarking the Generation of Fact Checking ExplanationsCode1
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationCode1
Factual Consistency Evaluation for Text Summarization via Counterfactual EstimationCode1
Fair Abstractive Summarization of Diverse PerspectivesCode1
Get To The Point: Summarization with Pointer-Generator NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Scrambled code + broken (alter)ROUGE-148.18Unverified
2BRIOROUGE-147.78Unverified
3PegasusROUGE-147.36Unverified
4PEGASUS + SummaRerankerROUGE-147.16Unverified
5Scrambled code + brokenROUGE-146.71Unverified
6BART + SimCLSROUGE-146.67Unverified
7SEASONROUGE-146.27Unverified
8Fourier TransformerROUGE-144.76Unverified
9GLM-XXLargeROUGE-144.7Unverified
10BART + R-DropROUGE-144.51Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTROUGE-138.91Unverified
2mBARTROUGE-138.91Unverified
3BART-ITROUGE-137.31Unverified
4mT5ROUGE-135.04Unverified
5IT5ROUGE-133.78Unverified
6IT5-baseROUGE-132.88Unverified
7Pegasus-CNN/DM (eng-it translation)ROUGE-123.96Unverified
8Pegasus-XSum (eng-it translation)ROUGE-121.03Unverified
#ModelMetricClaimedVerifiedStatus
1Kết quả nghiên cứuRouge-167.8Unverified
2ViT5 largeRouge-163.37Unverified
3ViT5 baseRouge-162.77Unverified
4BARTphoRouge-161.14Unverified
5mBARTRouge-159.81Unverified
6mT5Rouge-158.05Unverified
7TransformerRouge-157.56Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTROUGE-136.52Unverified
2mBARTROUGE-136.5Unverified
3BART-ITROUGE-135.42Unverified
4mT5ROUGE-134.13Unverified
5IT5-baseROUGE-133.99Unverified
6IT5ROUGE-133.83Unverified
#ModelMetricClaimedVerifiedStatus
1GP_Step_SimROUGE-164.48Unverified
2NEZHAROUGE-163.91Unverified
3RoBERTaROUGE-163.22Unverified
4BERTROUGE-162.37Unverified
5Seq2seqROUGE-148.62Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-144.47Unverified
2SEGMENTROUGE-142.1Unverified
3CriSPO 3-shotROUGE-142.1Unverified
4Claude Instant + SigExtROUGE-142Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTrouge119.35Unverified
2IT5rouge119.29Unverified
3Pegasus-CNN/DM (eng-it translation)rouge116.97Unverified
4Pegasus-XSum (eng-it translation)rouge115.17Unverified
#ModelMetricClaimedVerifiedStatus
1BART-ITROUGE-142.32Unverified
2mT5ROUGE-140.6Unverified
3mBARTROUGE-139.32Unverified
4IT5-baseROUGE-137.98Unverified
#ModelMetricClaimedVerifiedStatus
1PEGASUSROUGE-137.68Unverified
2Multi-Stage Extractor/AbstractorROUGE-123.67Unverified
#ModelMetricClaimedVerifiedStatus
1Two stage LLMsTest ROGUE-10.46Unverified
#ModelMetricClaimedVerifiedStatus
1T2SAMROUGE48.5Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTMETEOR0.44Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTMETEOR0.21Unverified
#ModelMetricClaimedVerifiedStatus
1Two stage LLMsTest ROGUE-10.44Unverified
#ModelMetricClaimedVerifiedStatus
1BertSumContent F129.8Unverified