News Generation
8 papers with code • 0 benchmarks • 3 datasets
Generation of larger segments of text with consistent topic and evolving story.
Benchmarks
These leaderboards are used to track progress in News Generation
FakeNewsNet
Ice Hockey News Dataset
Most implemented papers
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommendation services.
The Myths of Our Time: Fake News
While the purpose of most fake news is misinformation and political propaganda, our team sees it as a new type of myth that is created by people in the age of internet identities and artificial intelligence.
Template-free Data-to-Text Generation of Finnish Sports News
News articles such as sports game reports are often thought to closely follow the underlying game statistics, but in practice they contain a notable amount of background knowledge, interpretation, insight into the game, and quotes that are not present in the official statistics.
Fact-Enhanced Synthetic News Generation
The existing text generation methods either afford limited supplementary information or lose consistency between the input and output which makes the synthetic news less trustworthy.
AraGPT2: Pre-Trained Transformer for Arabic Language Generation
aub-mind/araBERT
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EACL (WANLP) 2021
In this paper, we develop the first advanced Arabic language generation model, AraGPT2, trained from scratch on a large Arabic corpus of internet text and news articles.
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
Despite recent advances in detecting fake news generated by neural models, their results are not readily applicable to effective detection of human-written disinformation.
LongForm: Optimizing Instruction Tuning for Long Text Generation with Corpus Extraction
Our models outperform 10x larger language models without instruction tuning on various tasks such as story/recipe generation and long-form question answering.
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
ImKeTT/ZeroGen
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Automatically generating textual content with desired attributes is an ambitious task that people have pursued long.
