no code implementations • LREC 2022 • Daniel Cheng, Kyle Yan, Phillip Keung, Noah A. Smith
Social media platforms play an increasingly important role as forums for public discourse.
no code implementations • 26 Mar 2024 • Jake Hesford, Daniel Cheng, Alan Wan, Larry Huynh, Seungho Kim, Hyoungshick Kim, Jin B. Hong
Our paper provides empirical comparisons between recent IDSs to provide an objective comparison between them to help users choose the most appropriate solution based on their requirements.
no code implementations • 6 Feb 2024 • Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan
In this paper, we present how we scaled the product from displaying single-line suggestions to multi-line suggestions.
no code implementations • 14 Nov 2023 • Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith
Our results demonstrate the effectiveness of human-readable, natural-language IDs in generative retrieval with LMs.
no code implementations • 20 May 2023 • Vijayaraghavan Murali, Chandra Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby
At the time of this writing, 16K developers have used it with 8% of their code coming directly from CodeCompose.
1 code implementation • 11 Jan 2023 • Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith
We propose NarrowBERT, a modified transformer encoder that increases the throughput for masked language model pretraining by more than $2\times$.