85 citations · 127 across the 16 of their papers we have counts for
17 papers
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale
Zhixuan Zhou, Jiao Sun, Jiaxin Pei +2
Fairy tales are a common resource for young children to learn a language or understand how a society works. However, gender bias, e.g., stereotypical gender roles, in this literatu…
Submission-Aware Reviewer Profiling for Reviewer Recommender System
Omer Anjum, Alok Kamatar, Toby Liang +2
Assigning qualified, unbiased and interested reviewers to paper submissions is vital for maintaining the integrity and quality of the academic publishing system and providing valua…
Excel Spreadsheet Analyzer
Amir Nassereldine, Patrick Chen, Jinjun Xiong
Spreadsheets are widely used in various fields to do large numerical analysis. While several companies have relied on spreadsheets for decades, data scientists are going in the dir…
Extensible Proxy for Efficient NAS
Yuhong Li, Jiajie Li, Cong Han +3
Neural Architecture Search (NAS) has become a de facto approach in the recent trend of AutoML to design deep neural networks (DNNs). Efficient or near-zero-cost NAS proxies are fur…
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Bhavya Bhavya, Jinjun Xiong, Chengxiang Zhai
We propose a novel application of prompting Pre-trained Language Models (PLMs) to generate analogies and study how to design effective prompts for two task settings: generating a s…
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang, Meng Wang, Sijia Liu +2
Self-training, a semi-supervised learning algorithm, leverages a large amount of unlabeled data to improve learning when the labeled data are limited. Despite empirical successes,…