563 citations · 592 across the 7 of their papers we have counts for
8 papers
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach, Victor Sanh, Zheng-Xin Yong +24
PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target…
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel +38
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a…
Character Feature Engineering for Japanese Word Segmentation
Mike Tian-Jian Jiang
On word segmentation problems, machine learning architecture engineering often draws attention. The problem representation itself, however, has remained almost static as either wor…
On the Development of Text Input Method - Lessons Learned
Mike Tian-Jian Jiang, Deng Liu, Meng-Juei Hsieh +1
Intelligent Input Methods (IM) are essential for making text entries in many East Asian scripts, but their application to other languages has not been fully explored. This paper di…
An Automated Evaluation Metric for Chinese Text Entry
Mike Tian-Jian Jiang, James Zhan, Jaimie Lin +2
In this paper, we propose an automated evaluation metric for text entry. We also consider possible improvements to existing text entry evaluation metrics, such as the minimum strin…