TextLap: Customizing Language Models for Text-to-Layout Planning | NSF Public Access Repository

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Citation Details

TextLap: Customizing Language Models for Text-to-Layout Planning

Award ID(s):: 2223292

PAR ID:: 10637261

Author(s) / Creator(s):: Chen, Jian; Zhang, Ruiyi; Zhou, Yufan; Healey, Jennifer; Gu, Jiuxiang; Xu, Zhiqiang; Chen, Changyou

Publisher / Repository:: The 2024 Conference on Empirical Methods in Natural Language Processing

Date Published:: 2024-11-12

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Proceeding:
The DOI is not currently available.