News Generation
10 papers with code • 0 benchmarks • 5 datasets
Generation of larger segments of text with consistent topic and evolving story.
Benchmarks
These leaderboards are used to track progress in News Generation
Latest papers
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
Additionally, we introduce a Python library to streamline the entire process from typology design and deployment to annotation processing.
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
Automatically generating textual content with desired attributes is an ambitious task that people have pursued long.
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.
LongForm: Effective Instruction Tuning with Reverse Instructions
We generate instructions via LLMs for human-written corpus examples using reverse instructions.
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.
Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval
Article comprehension is an important challenge in natural language processing with many applications such as article generation or image-to-article retrieval.
AraGPT2: Pre-Trained Transformer for Arabic Language Generation
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.
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.
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.
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.