Papers with enhanced models

2 papers
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding (2024.emnlp-main)

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Challenge: Existing models of layout reading order do not convey the complete reading order information in the layout.
Approach: They propose to model layout reading order as ordering relations over layout elements . they propose a reading-order-relation-enhancing pipeline to improve model performance .
Outcome: The proposed model outperforms existing models on a visual-rich document dataset and on eight cross-domain VrD-IE/QA tasks without targeted optimization.
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA (2020.emnlp-main)

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Challenge: Existing knowledge transfer models do not exploit compositionality of language, often relying on superficial features.
Approach: They propose to use a knowledge distillation technique to fine tune RoBERTa, BERT and DistilBERT models to improve their performance.
Outcome: The proposed models improve on the CoQA task with linguistic knowledge and are able to represent compositional and lexical information.

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