2 citations · 3 across the 7 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Differentially Private Federated Clustering with Random Rebalancing
Xiyuan Yang, Shengyuan Hu, Soyeon Kim +1
Federated clustering aims to group similar clients into clusters and produce one model for each cluster. Such a personalization approach typically improves model performance compar…
cs.CL2025
Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models
Soyeon Kim, Jindong Wang, Xing Xie +1
Facts change over time, making it essential for Large Language Models (LLMs) to handle time-sensitive factual knowledge accurately and reliably. Although factual Time-Sensitive Que…
cs.DB2025
NEXT-EVAL: Next Evaluation of Traditional and LLM Web Data Record Extraction
Soyeon Kim, Namhee Kim, Yeonwoo Jeong
Effective evaluation of web data record extraction methods is crucial, yet hampered by static, domain-specific benchmarks and opaque scoring practices. This makes fair comparison b…