In recent years, prompt tuning has proven effective in adapting pre-trained vision-language models to down-stream tasks. These methods aim to adapt the pre-trained models by …
The spread of rumors along with breaking events seriously hinders the truth in the era of social media. Previous studies reveal that due to the lack of annotated resources, rumors …
Soft prompt tuning achieves superior performances across a wide range of few-shot tasks. However, the performances of prompt tuning can be highly sensitive to the initialization of …
Recent research showed promising results on combining pretrained language models (LMs) with canonical utterance for few-shot semantic parsing. The canonical utterance is often …
Z Yang, A Ishay, J Lee - arXiv preprint arXiv:2307.07696, 2023 - arxiv.org
While large language models (LLMs), such as GPT-3, appear to be robust and general, their reasoning ability is not at a level to compete with the best models trained for specific natural …
A common problem with adopting Text-to-SQL translation in database systems is poor generalization. Specifically, when there is limited training data on new datasets, existing few …
Recent work has shown that generation from a prompted or fine-tuned language model can perform well at semantic parsing when the output is constrained to be a valid semantic …
Recent advances in deep learning have greatly propelled the research on semantic parsing. Improvement has since been made in many downstream tasks, including natural language …
J Lin, J Guo, S Sun, W Xu, T Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Creating layouts is a fundamental step in graphic design. In this work, we propose to use text as the guidance to create graphic layouts, ie, Text-to-Layout, aiming to lower the design …