Xingyu Chen

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning

2022 · arXiv (Cornell University)

Recently, webly supervised learning (WSL) has been studied to leverage numerous and accessible data from the Internet. Most existing methods focus on learning noise-robust models from web images while neglecting the performance drop caused by …

Rethinking Word-Level Auto-Completion in Computer-Aided Translation

2023 · arXiv (Cornell University)

Word-Level Auto-Completion (WLAC) plays a crucial role in Computer-Assisted Translation. It aims at providing word-level auto-completion suggestions for human translators. While previous studies have primarily focused on designing complex model architectures, this paper takes a …