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 151–200 of 846 papers

TitleStatusHype
IDAS: Intent Discovery with Abstractive SummarizationCode1
Abstractive Summarization as Augmentation for Document-Level Event Detection—0
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization—0
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive SummarizationCode0
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence ModelCode0
Improving Factuality of Abstractive Summarization without Sacrificing Summary QualityCode0
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT OperatorCode1
Abstractive Text Summarization Using the BRIO Training Paradigm—0
USB: A Unified Summarization Benchmark Across Tasks and DomainsCode0
Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationCode0
Task-agnostic Distillation of Encoder-Decoder Language Models—0
Counterfactual Debiasing for Generating Factually Consistent Text Summaries—0
Balancing Lexical and Semantic Quality in Abstractive SummarizationCode1
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech TranslationCode0
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive SummarizationCode0
The Current State of Summarization—0
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video—0
HistAlign: Improving Context Dependency in Language Generation by Aligning with HistoryCode0
Personalized Abstractive Summarization by Tri-agent Generation PipelineCode0
Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive SummarizationCode0
Lift Yourself Up: Retrieval-augmented Text Generation with Self MemoryCode1
Entity-Based Evaluation of Political Bias in Automatic SummarizationCode0
Can LMs Generalize to Future Data? An Empirical Analysis on Text SummarizationCode0
GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text SummarizationCode0
SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism—0
CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia—0
Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
SASS: Data and Methods for Subject Aware Sentence Simplification—0
Lay Text Summarisation Using Natural Language Processing: A Narrative Literature Review—0
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization—0
Faithfulness-Aware Decoding Strategies for Abstractive SummarizationCode1
An Analysis of Abstractive Text Summarization Using Pre-trained Models—0
Abstractive Text Summarization using Attentive GRU based Encoder-Decoder—0
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text SummarizationCode0
Learning with Rejection for Abstractive Text SummarizationCode0
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization—0
Long Text and Multi-Table Summarization: Dataset and MethodCode1
Leveraging Summary Guidance on Medical Report Summarization—0
Curriculum-Guided Abstractive Summarization—0
Curriculum-guided Abstractive Summarization for Mental Health Online Posts—0
HunSum-1: an Abstractive Summarization Dataset for HungarianCode1
Transformer Based Implementation for Automatic Book Summarization—0
On the State of German (Abstractive) Text SummarizationCode1
Active Learning for Abstractive Text SummarizationCode0
BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization.—0
BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text SummarizationCode1
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
OpineSum: Entailment-based self-training for abstractive opinion summarization—0
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence SummarizationCode1
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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