2 papers
cs.IR2026
MESH: Scaling Up Retrieval with Heterogeneous Content Unification
Jiaxing Qu, Yilin Chen, Junpeng Hou +4
Optimizing large-scale retrieval hinges on the ability to efficiently surface candidates across diverse content tiers. However, to capture segments such as fresh and long-tail cont…
cs.CL2026
When Can Digital Personas Reliably Approximate Human Survey Findings?
Mumin Jia, Yilin Chen, Divya Sharma +1
Digital personas powered by Large Language Models (LLMs) are increasingly proposed as substitutes for human survey respondents, yet it remains unclear when they can reliably approx…