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 101–150 of 846 papers

TitleStatusHype
Evaluating GPT-3.5's Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics—0
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position BiasCode0
Cross-Domain Robustness of Transformer-based Keyphrase Generation—0
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative TasksCode2
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization—0
FREDSum: A Dialogue Summarization Corpus for French Political DebatesCode1
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?—0
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples GenerationCode0
Investigating Hallucinations in Pruned Large Language Models for Abstractive SummarizationCode1
Fair Abstractive Summarization of Diverse PerspectivesCode1
GreekT5: A Series of Greek Sequence-to-Sequence Models for News SummarizationCode0
Controllable Topic-Focused Abstractive Summarization—0
Legal-HNet: Mixing Legal Long-Context Tokens with Hartley Transform—0
Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific LiteratureCode1
Correction with Backtracking Reduces Hallucination in SummarizationCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
PartialFormer: Modeling Part Instead of Whole for Machine TranslationCode0
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation—0
On Context Utilization in Summarization with Large Language ModelsCode0
Metric Ensembles For Hallucination Detection—0
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination DetectionCode1
Calibrating Likelihoods towards Consistency in Summarization Models—0
Teaching Language Models to Hallucinate Less with Synthetic Tasks—0
Abstractive Summarization of Large Document Collections Using GPT—0
Improving Summarization with Human EditsCode0
Low Resource Summarization using Pre-trained Language Models—0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
Towards Green AI in Fine-tuning Large Language Models via Adaptive BackpropagationCode1
NumHG: A Dataset for Number-Focused Headline GenerationCode0
Benchmarking the Generation of Fact Checking ExplanationsCode1
Inducing Causal Structure for Abstractive Text SummarizationCode0
PromptSum: Parameter-Efficient Controllable Abstractive Summarization—0
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence GenerationCode1
Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical EducationCode1
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error AnalysisCode0
Prompting Large Language Models with Speech Recognition Abilities—0
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning—0
Named Entity Inclusion in Abstractive Text Summarization—0
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them—0
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific ContentsCode0
Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM—0
Open-Domain Text Evaluation via Contrastive Distribution MethodsCode0
GUMSum: Multi-Genre Data and Evaluation for English Abstractive SummarizationCode0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization—0
Towards End-to-end Speech-to-text SummarizationCode0
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?—0
Unsupervised Extractive Summarization of Emotion TriggersCode0
An abstractive text summarization technique using transformer model with self-attention mechanismCode0
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary RerankingCode0
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback—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