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Learn and Sample Together: Collaborative Generation for Graphic Design Layout.

, , , and . IJCAI, page 5851-5859. ijcai.org, (2023)

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Reverse-engineering information presentations: recovering hierarchical grouping from layouts of visual elements., , , , and . Vis. Intell., (2023)Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator., , , , and . AAAI, page 3413-3421. AAAI Press, (2024)Towards Generating Math Word Problems from Equations and Topics., and . INLG, page 494-503. Association for Computational Linguistics, (2019)Learning Fine-Grained Expressions to Solve Math Word Problems., , , and . EMNLP, page 805-814. Association for Computational Linguistics, (2017)Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering., , , and . IJCAI, page 4785-4793. ijcai.org, (2023)Unsupervised Graphic Layout Grouping with Transformers., , , , , , , and . WACV, page 1020-1029. IEEE, (2024)Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning., , , and . AAAI, page 13243-13251. AAAI Press, (2021)Layout Generation as Intermediate Action Sequence Prediction., , , and . AAAI, page 10762-10770. AAAI Press, (2023)How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation., , , , and . ACL (1), The Association for Computer Linguistics, (2016)Using Intermediate Representations to Solve Math Word Problems., , , , and . ACL (1), page 419-428. Association for Computational Linguistics, (2018)