News Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• ReMoDetect: Reward Models Recognize Aligned LLM's Generations
  27 May 2024 2 repositories listed
  Based on this finding, we propose two training schemes to further improve the detection ability of the reward model, namely (i) continual preference fine-tuning to make the reward model prefer aligned LGTs even further…
• ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
  11 May 2023 2 repositories listed
  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
  17 Apr 2023 2 repositories listed
  We generate instructions via LLMs for human-written corpus examples using reverse instructions.
• RICo: Reddit ideological communities
  5 Jun 2024 1 repository listed
  Previous work addressed label curation by using ideological subreddits (r/Liberal and r/Conservative for Liberal and Conservative classes) to label the articles shared on those subreddits according to their prescribed…
• Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
  14 Aug 2023 1 repository listed
  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
  29 Jun 2023 1 repository listed
  Automatically generating textual content with desired attributes is an ambitious task that people have pursued long.
• Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
  10 Mar 2022 1 repository listed
  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
  11 Dec 2021 1 repository listed
  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
  31 Dec 2020 1 repository listed
  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
  8 Dec 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  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
  4 Oct 2019 1 repository listed
  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,…
• The Myths of Our Time: Fake News
  5 Aug 2019 1 repository listed
  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.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.