Text Summarization
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Benchmarks
GigaWord
Pubmed
Arxiv HEP-TH citation graph
MTEB
X-Sum
DUC 2004 Task 1
SAMSum
Reddit TIFU
DialogSum
Klexikon
BookSum
GigaWord-10k
WikiHow
BigPatent
GovReport
How2
MeetingBank
OrangeSum
XSum
ACI-Bench
AMI
BBC XSum
BillSum
CL-SciSumm
CORD-19
EurekaAlert
Gazeta
LCSTS
MeQSum
MediaSum
MentSum
QMSum
S2ORC
Webis-Snippet-20 Corpus
arXiv
Most implemented
Attention Is All You Need
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Get To The Point: Summarization with Pointer-Generator Networks
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Text Summarization with Pretrained Encoders
Big Bird: Transformers for Longer Sequences
Papers
LatentPress: Context Compression Beyond Text and Vision
Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPress, which writes conversational histories and lon…
Text SummarizationAssessing Quality of Experience in Natural Language Generation of German Text
The rapid advancement of Natural Language Generation (NLG) has made the reliable evaluation of generated text increasingly critical, as these systems, such as large language models (LLMs), are now widely deployed in real…
Machine TranslationText SummarizationFrom RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement
Reinforcement Learning with Verifiable Rewards (RLVR) has driven recent progress in reasoning-oriented large language models (LLMs) by enabling large-scale optimization. However, its applicability remains largely limited…
Self-Supervised LearningReinforcement LearningMathematical ReasoningText SummarizationLeveraging Instruction Tuning and Merging for Reasoning Model Adaptation
Reasoning language models (RLMs) have demonstrated impressive performance in domains such as mathematics and coding. These domains permit reliable verification of model outputs, which is important for enabling the reinfo…
Reinforcement LearningText SummarizationDialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
Existing text summarization research has focused much on monologic information (e.g., newspaper articles, reports) without accounting for the interaction between speakers or authors. In contrast, dialogues are a rich com…
Text SummarizationAbstractiveness Metrics for Evaluating Text Summarization: A Refined Formulation with Empirical Validation
Quantifying abstractiveness in generated summaries is essential for evaluating summarization models beyond surface-level metrics like ROUGE. We introduce Reference Abstraction (RA), Summary Abstraction (SA), and Abstract…
Text Summarization