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
Controllable Topic-Focused Abstractive Summarization—0
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization—0
Entity-based De-noising Modeling for Controllable Dialogue Summarization—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models—0
Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings—0
Abstractive Text Summarization Using the BRIO Training Paradigm—0
Composing Elementary Discourse Units in Abstractive Summarization—0
Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization—0
Controllable Abstractive Summarization—0
Abstractive summarization from Audio Transcription—0
Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms—0
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks—0
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization—0
A Novel LLM-based Two-stage Summarization Approach for Long Dialogues—0
Enriching and Controlling Global Semantics for Text Summarization—0
Controlling the Focus of Pretrained Language Generation Models—0
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization—0
ColdGANs: Taming Language GANs with Cautious Sampling Strategies—0
A Novel ILP Framework for Summarizing Content with High Lexical Variety—0
Annotation and Analysis of Extractive Summaries for the Kyutech Corpus—0
ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs—0
Corpus Building and Evaluation of Aspect-based Opinion Summaries from Tweets in Spanish—0
CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization—0
Actor-Critic based Training Framework for Abstractive Summarization—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Counterfactual Data Augmentation improves Factuality of Abstractive Summarization—0
Counterfactual Debiasing for Generating Factually Consistent Text Summaries—0
Closed-Book Training to Improve Summarization Encoder Memory—0
CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia—0
ARLED: Leveraging LED-based ARMAN Model for Abstractive Summarization of Persian Long Documents—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language—0
Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization—0
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization—0
Abstractive Text Summarization using Attentive GRU based Encoder-Decoder—0
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora—0
CTISum: A New Benchmark Dataset For Cyber Threat Intelligence Summarization—0
Curriculum-guided Abstractive Summarization for Mental Health Online Posts—0
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation—0
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
DaNewsroom: A Large-scale Danish Summarisation Dataset—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
Abstractive Text Summarization: State of the Art, Challenges, and Improvements—0
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them—0
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive 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