all AI news
Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models
April 23, 2024, 4:50 a.m. | Yukyung Lee, Soonwon Ka, Bokyung Son, Pilsung Kang, Jaewook Kang
cs.CL updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) have significantly impacted the writing process, enabling collaborative content creation and enhancing productivity. However, generating high-quality, user-aligned text remains challenging. In this paper, we propose Writing Path, a framework that uses explicit outlines to guide LLMs in generating goal-oriented, high-quality pieces of writing. Our approach draws inspiration from structured writing planning and reasoning paths, focusing on capturing and reflecting user intentions throughout the writing process. We construct a diverse dataset from …
abstract arxiv collaborative cs.ai cs.cl cs.hc enabling framework guide however language language models large language large language models llms outlines paper path process productivity quality text text generation type writing
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Lead Data Modeler
@ Sherwin-Williams | Cleveland, OH, United States