# LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning

arXiv: https://arxiv.org/abs/2404.00027 · HTML: https://mlsanity.com/paper/2404.00027/

## Key facts

- Cited by 12 papers in the map (data through 14 Oct 2026).
- Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning.
- Builds on 3 of its 25 references that are in the map.
- First posted on arXiv 20 Mar 2024.

## Placed in

- LLM reasoning / [Reasoning benchmarks and evaluation](https://mlsanity.com/lr/reasoning-benchmarks-and-evaluation/)

## Builds on (most cited first, 3 of 3)

- [Evaluating Large Language Models: A Comprehensive Survey](https://mlsanity.com/paper/2310.19736/) (2023)
- [Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence](https://mlsanity.com/paper/2306.07075/) (2023)
- [Inspo: Writing with Crowds Alongside AI](https://mlsanity.com/paper/2311.16521/) (2023)

## Built on by (most cited first, 12 of 12)

- [How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?](https://mlsanity.com/paper/2410.04545/) (2024)
- [Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors](https://mlsanity.com/paper/2509.14543/) (2025)
- [Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text](https://mlsanity.com/paper/2503.00258/) (2025)
- [CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics](https://mlsanity.com/paper/2407.02885/) (2024)
- [Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling](https://mlsanity.com/paper/2410.17210/) (2024)
- [JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General Audience](https://mlsanity.com/paper/2501.16865/) (2025)
- [LLM-Collaboration on Automatic Science Journalism for the General Audience](https://mlsanity.com/paper/2407.09756/) (2024)
- [Designing Human-AI Collaboration to Support Learning in Counterspeech Writing](https://mlsanity.com/paper/2410.03032/) (2024)
- [Semantic Delta: An Interpretable Signal Differentiating Human and LLMs Dialogue](https://mlsanity.com/paper/2603.19849/) (2026)
- [The Crutch or the Ceiling? How Different Generations of LLMs Shape EFL Student Writings](https://mlsanity.com/paper/2604.15460/) (2026)
- [Can AI be a moral victim? The role of moral patiency and ownership perceptions in ethical judgments of using AI-generated content](https://mlsanity.com/paper/2604.26956/) (2026)
- [MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models](https://mlsanity.com/paper/2605.25342/) (2026)

## Abstract (arXiv)

Sense of ownership in writing confines our investment of thoughts, time, and contribution, leading to attachment to the output. However, using writing assistants introduces a mental dilemma, as some content isn't directly our creation. For instance, we tend to credit Large Language Models (LLMs) more in creative tasks, even though all tasks are equal for them. Additionally, while we may not claim complete ownership of LLM-generated content, we freely claim authorship. We conduct a short survey to examine these issues and understand underlying cognitive processes in order to gain a better knowledge of human-computer interaction in writing and improve writing aid systems.