12 citations · 13 across the 7 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CL2025
Better Datasets Start From RefineLab: Automatic Optimization for High-Quality Dataset Refinement
Xiaonan Luo, Yue Huang, Ping He +1
High-quality Question-Answer (QA) datasets are foundational for reliable Large Language Model (LLM) evaluation, yet even expert-crafted datasets exhibit persistent gaps in domain c…
cs.CL2025
SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization
Yue Huang, Xiangqi Wang, Xiangliang Zhang
In high-stakes scenarios-such as self-harm, legal, or medical queries-LLMs must be both trustworthy and helpful. However, these goals often conflict. We propose priority alignment,…
cs.CL2025★ 1 cited
Evaluating and Mitigating Bias in AI-Based Medical Text Generation
Xiuying Chen, Tairan Wang, Juexiao Zhou +3
Artificial intelligence (AI) systems, particularly those based on deep learning models, have increasingly achieved expert-level performance in medical applications. However, there…