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 1–50 of 846 papers

TitleStatusHype
Z-Code++: A Pre-trained Language Model Optimized for Abstractive SummarizationCode4
Locally Typical SamplingCode4
GLM: General Language Model Pretraining with Autoregressive Blank InfillingCode3
Attention Is All You NeedCode3
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
Abstractive Summarization of Spoken andWritten Instructions with BERTCode2
BRIO: Bringing Order to Abstractive SummarizationCode2
Legal Case Document Summarization: Extractive and Abstractive Methods and their EvaluationCode2
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationCode2
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative TasksCode2
Entity-level Factual Consistency of Abstractive Text SummarizationCode1
Detecting Hallucinated Content in Conditional Neural Sequence GenerationCode1
EmailSum: Abstractive Email Thread SummarizationCode1
Enriching Transformers with Structured Tensor-Product Representations for Abstractive SummarizationCode1
Attention Temperature Matters in Abstractive Summarization DistillationCode1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationCode1
Cross-Lingual Abstractive Summarization with Limited Parallel ResourcesCode1
Controlling Conditional Language Models without Catastrophic ForgettingCode1
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained GenerationCode1
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument MiningCode1
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text GenerationCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
Asking and Answering Questions to Evaluate the Factual Consistency of SummariesCode1
Abstractive Summarization Guided by Latent Hierarchical Document StructureCode1
Deep Reinforcement Learning For Sequence to Sequence ModelsCode1
Control Prefixes for Parameter-Efficient Text GenerationCode1
DYLE: Dynamic Latent Extraction for Abstractive Long-Input SummarizationCode1
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain PretrainingCode1
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text SummarizationCode1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
Bottom-Up Abstractive SummarizationCode1
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
Abstractive Summarization of Spoken and Written Instructions with BERTCode1
Benchmarking the Generation of Fact Checking ExplanationsCode1
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
Better Fine-Tuning by Reducing Representational CollapseCode1
BookSum: A Collection of Datasets for Long-form Narrative SummarizationCode1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
Abstractive Text Summarization Based on Deep Learning and Semantic Content GeneralizationCode1
A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsCode1
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text SummarizationCode1
Abstractive Meeting Summarization: A SurveyCode1
Annotating and Modeling Fine-grained Factuality in SummarizationCode1
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model InfillingCode1
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
Cross-Lingual Natural Language Generation via Pre-TrainingCode1
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument MiningCode1
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondCode1
BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text SummarizationCode1
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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