What Can’t Large Language Models Do? The Future of AI-Assisted Academic Writing
Informations
- Type:
- inproceedings
- Auteurs:
- Fok, Raymond and Weld, Daniel S
- Pertinence:
-
Haute
- Référence:
- Doi:
- 10.1609/aiide.v18i1.21955
- Mots-clés:
- Url:
- https://cdn.glitch.global/d058c114-3406-43be-8a3c-d3afff35eda2/paper4_2023.pdf
- Date de publication:
- 12/2022
- Résumé:
- Discussion de l'utilisation des LLM pour la rédaction de cours. Identification de problèmes à résoudre.
- Abstract:
- Large language models have revolutionized the way we interact with the world around us, yet their relative nascency suggests its transformative potential on society is still underexplored. Applications built on these models have excelled at summarizing articles, engaging in realistic conversations, and writing creative stories. However, there remain open questions in how we can design tools that effectively leverage these models to support complex, cognitive demanding, and factual writing processes. In this position paper, we consider emergent paradigms in human-AI collaborative writing and their implications on future academic writing assistants.
- Pdf:
- Lien pdf
Références
1 articles
| Titre | Type | Pertinence | Auteurs | Date Publication | Références | Citations | Actions |
|---|---|---|---|---|---|---|---|
| Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence | article | Haute | Singh, Nikhil and Bernal, Guillermo and Savchenko, Daria and Glassman, Elena L. | 02/2022 | 0 | 4 |
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