1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2024
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review
Fengji Zhang, Zexian Zhang, Jacky Wai Keung +4
Code Smell Detection (CSD) plays a crucial role in improving software quality and maintainability. And Deep Learning (DL) techniques have emerged as a promising approach for CSD du…
cs.CL2024
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Chunyuan Deng, Yilun Zhao, Yuzhao Heng +4
Data contamination has garnered increased attention in the era of large language models (LLMs) due to the reliance on extensive internet-derived training corpora. The issue of trai…
cs.CL2024★ 1 cited
Weaver: Foundation Models for Creative Writing
Tiannan Wang, Jiamin Chen, Qingrui Jia +43
This work introduces Weaver, our first family of large language models (LLMs) dedicated to content creation. Weaver is pre-trained on a carefully selected corpus that focuses on im…