bias correction 1heterogeneous content 1large-scale systems 1modular architecture 1recommendation systems 1retrieval scaling 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
MESH: Scaling Up Retrieval with Heterogeneous Content Unification
Jiaxing Qu, Yilin Chen, Junpeng Hou +4
The paper introduces MESH, a unified framework that reduces bias in heterogeneous large‑scale retrieval systems by modularizing feature spaces and applying gated bias correction, l…
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…