David Q. Sun

According to our database, David Q. Sun authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Protected group bias and stereotypes in Large Language Models.

Hadas Kotek, David Q. Sun, Zidi Xiu, Margit Bowler, Christopher Klein

CoRR, 2024

2023

Intelligent Assistant Language Understanding On Device.

Cecilia Aas, Hisham Abdelsalam, Irina Belousova, Shruti Bhargava, Jianpeng Cheng, Robert Daland, Joris Driesen, Federico Flego, Tristan Guigue, Anders Johannsen, Partha Lal, Jiarui Lu, Joel Ruben Antony Moniz, Nathan Perkins, Dhivya Piraviperumal, Stephen Pulman, Diarmuid Ó Séaghdha, David Q. Sun, John Torr, Marco Del Vecchio, Jay Wacker, Jason D. Williams, Hong Yu

CoRR, 2023

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out.

Zidi Xiu, Kai-Chen Cheng, David Q. Sun, Jiannan Lu, Hadas Kotek, Yuhan Zhang, Paul McCarthy, Christopher Klein, Stephen Pulman, Jason D. Williams

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues.

David Q. Sun, Artem Abzaliev, Hadas Kotek, Christopher Klein, Zidi Xiu, Jason D. Williams

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Gender bias and stereotypes in Large Language Models.

Hadas Kotek, Rikker Dockum, David Q. Sun

Proceedings of The ACM Collective Intelligence Conference, 2023

2020

Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution.

David Q. Sun, Hadas Kotek, Christopher Klein, Mayank Gupta, William Li, Jason D. Williams

Proceedings of the 28th International Conference on Computational Linguistics, 2020