2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024
TODO: Enhancing LLM Alignment with Ternary Preferences
Yuxiang Guo, Lu Yin, Bo Jiang +1
Aligning large language models (LLMs) with human intent is critical for enhancing their performance across a variety of tasks. Standard alignment techniques, such as Direct Prefere…
cs.SE2024★ 2 cited
An Empirical Study on JIT Defect Prediction Based on BERT-style Model
Yuxiang Guo, Xiaopeng Gao, Bo Jiang
Previous works on Just-In-Time (JIT) defect prediction tasks have primarily applied pre-trained models directly, neglecting the configurations of their fine-tuning process. In this…