Ying Sheng

According to our database, Ying Sheng authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy.

Ying Sheng, Sudeep Gandhe, Bhargav Kanagal, Nick Edmonds, Zachary Fisher, Sandeep Tata, Aarush Selvan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Learning Transferable Node Representations for Attribute Extraction from Web Documents.

Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Simplified DOM Trees for Transferable Attribute Extraction from the Web.

Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata

CoRR, 2021

Dataset or Not? A Study on the Veracity of Semantic Markup for Dataset Pages.

Tarfah Alrashed, Dimitris Paparas, Omar Benjelloun, Ying Sheng, Natasha F. Noy

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

2020

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents.

Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design.

Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

RiSER: Learning Better Representations for Richly Structured Emails.

Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork

Proceedings of the World Wide Web Conference, 2019

2018

Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email.

Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018