# Towards Content Transfer through Grounded Text Generation

arXiv: https://arxiv.org/abs/1905.05293 · HTML: https://mlsanity.com/paper/1905.05293/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 May 2019.

## Built on by (most cited first, 9 of 9)

- [Grounding 'Grounding' in NLP](https://mlsanity.com/paper/2106.02192/) (2021)
- [Focused Attention Improves Document-Grounded Generation](https://mlsanity.com/paper/2104.12714/) (2021)
- [Improving Wikipedia Verifiability with AI](https://mlsanity.com/paper/2207.06220/) (2022)
- [Time-aware Prompting for Text Generation](https://mlsanity.com/paper/2211.02162/) (2022)
- [Probing Factually Grounded Content Transfer with Factual Ablation](https://mlsanity.com/paper/2203.10133/) (2022)
- [Automatic Document Sketching: Generating Drafts from Analogous Texts](https://mlsanity.com/paper/2106.07192/) (2021)
- [Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation](https://mlsanity.com/paper/2104.08724/) (2021)
- [Local and Global Context-Based Pairwise Models for Sentence Ordering](https://mlsanity.com/paper/2110.04291/) (2021)
- [Attribute-Based Activation Steering of LLMs for Group-Specific Explanation Generation](https://mlsanity.com/paper/2608.29215/) (2026)

## Abstract (arXiv)

Recent work in neural generation has attracted significant interest in controlling the form of text, such as style, persona, and politeness. However, there has been less work on controlling neural text generation for content. This paper introduces the notion of Content Transfer for long-form text generation, where the task is to generate a next sentence in a document that both fits its context and is grounded in a content-rich external textual source such as a news story. Our experiments on Wikipedia data show significant improvements against competitive baselines. As another contribution of this paper, we release a benchmark dataset of 640k Wikipedia referenced sentences paired with the source articles to encourage exploration of this new task.