4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2026
QAQ: Bidirectional Semantic Coherence for Selecting High-Quality Synthetic Code Instructions
Jiayin Lei, Ming Ma, Yunxi Duan +2
Synthetic data has become essential for training code generation models, yet it introduces significant noise and hallucinations that are difficult to detect with current metrics. E…
cs.LG2022★ 4 cited
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
Jiannan Guo, Yangyang Kang, Yu Duan +6
While annotating decent amounts of data to satisfy sophisticated learning models can be cost-prohibitive for many real-world applications. Active learning (AL) and semi-supervised…
cs.CL2019★ 3 cited
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Yu Duan, Canwen Xu, Jiaxin Pei +2
Conditional Text Generation has drawn much attention as a topic of Natural Language Generation (NLG) which provides the possibility for humans to control the properties of generate…