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 451–500 of 846 papers

TitleStatusHype
Out-of-Distribution Detection and Selective Generation for Conditional Language Models—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
PARAMANU-AYN: Pretrain from scratch or Continual Pretraining of LLMs for Legal Domain Adaptation?—0
Personality-dependent Neural Text Summarization—0
Planning with Learned Entity Prompts for Abstractive Summarization—0
Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network—0
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning—0
Pre-trained Language Model Representations for Language Generation—0
Probing of Quantitative Values in Abstractive Summarization Models—0
ProdRev: A DNN framework for empowering customers using generative pre-trained transformers—0
Product Review Summarization by Exploiting Phrase Properties—0
Prompting Large Language Models with Speech Recognition Abilities—0
PromptSum: Parameter-Efficient Controllable Abstractive Summarization—0
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization—0
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering—0
Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models—0
Query-Guided Self-Supervised Summarization of Nursing Notes—0
Question-aware Transformer Models for Consumer Health Question Summarization—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?—0
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency—0
QURIOUS: Question Generation Pretraining for Text Generation—0
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference—0
Recursively Summarizing Books with Human Feedback—0
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency—0
Reinforced Abstractive Summarization with Adaptive Length Controlling—0
Reinforced Generative Adversarial Network for Abstractive Text Summarization—0
Reinforcement Learning without Human Feedback for Last Mile Fine-Tuning of Large Language Models—0
Repurposing Decoder-Transformer Language Models for Abstractive Summarization—0
Resurrecting Submodularity for Neural Text Generation—0
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization—0
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization—0
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization—0
RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization—0
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information—0
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information—0
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization—0
s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning—0
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization—0
SASS: Data and Methods for Subject Aware Sentence Simplification—0
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization—0
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization—0
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization—0
Self-Attention Guided Copy Mechanism for Abstractive Summarization—0
Self-Supervised and Controlled Multi-Document Opinion Summarization—0
Semantic Extractor-Paraphraser based Abstractive Summarization—0
Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net—0
Sentence Compression with Joint Structural Inference—0
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue—0
SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism—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