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Extreme Summarization
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Image credit: TLDR: Extreme Summarization of Scientific Documents
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
Explainable News Summarization -- Analysis and mitigation of Disagreement Problem
ROUGE-K: Do Your Summaries Have Keywords?
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI
Curriculum-guided Abstractive Summarization for Mental Health Online Posts
Curriculum-Guided Abstractive Summarization
WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs
X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documents
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision
PaLM: Scaling Language Modeling with Pathways
TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts
IndicBART: A Pre-trained Model for Indic Natural Language Generation
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Focus Attention: Promoting Faithfulness and Diversity in Summarization
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
TLDR: Extreme Summarization of Scientific Documents
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
A Convolutional Attention Network for Extreme Summarization of Source Code
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