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
Video Summarization Techniques: A Comprehensive Review—0
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language ModelsCode0
Salient Information Prompting to Steer Content in Prompt-based Abstractive SummarizationCode0
Abstractive Summarization of Low resourced Nepali language using Multilingual Transformers—0
Model-based Preference Optimization in Abstractive Summarization without Human FeedbackCode0
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis—0
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework—0
BERT-VBD: Vietnamese Multi-Document Summarization Framework—0
Abstractive Text Summarization: State of the Art, Challenges, and Improvements—0
Reinforcement Learning without Human Feedback for Last Mile Fine-Tuning of Large Language Models—0
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization—0
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation—0
CTISum: A New Benchmark Dataset For Cyber Threat Intelligence Summarization—0
Summarization of Investment Reports Using Pre-trained Model—0
Abstractive summarization from Audio Transcription—0
BOND: Aligning LLMs with Best-of-N Distillation—0
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text SummarizationCode0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches—0
STORYSUMM: Evaluating Faithfulness in Story SummarizationCode0
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization—0
Query-Guided Self-Supervised Summarization of Nursing Notes—0
Discrete Diffusion Language Model for Long Text Summarization—0
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset—0
EMO-KNOW: A Large Scale Dataset on Emotion and Emotion-causeCode0
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization—0
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization—0
CERET: Cost-Effective Extrinsic Refinement for Text GenerationCode0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance ParaphrasingCode0
HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewCode0
Aspect-oriented Consumer Health Answer Summarization—0
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data—0
Improving Long Text Understanding with Knowledge Distilled from Summarization Model—0
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization—0
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out DocumentCode0
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual InformationCode0
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization—0
Assisting humans in complex comparisons: automated information comparison at scale—0
Select and Summarize: Scene Saliency for Movie Script SummarizationCode0
LexAbSumm: Aspect-based Summarization of Legal Decisions—0
Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches—0
PARAMANU-AYN: Pretrain from scratch or Continual Pretraining of LLMs for Legal Domain Adaptation?—0
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
ACLSum: A New Dataset for Aspect-based Summarization of Scientific PublicationsCode0
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel SelectionCode0
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study—0
VBART: The Turkish LLM—0
EROS: Entity-Driven Controlled Policy Document Summarization—0
Layer-wise Regularized Dropout for Neural Language 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