2 papers
cs.AI2026
Assessing and Mitigating Miscalibration in LLM-Based Social Science Measurement
Jinyuan Wang, Ningyuan Deng, Yi Yang
Large language models (LLMs) are increasingly used in social science as scalable measurement tools for converting unstructured text into variables that can enter standard empirical…
cs.CL2025
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
Ningyuan Deng, Hanyu Duan, Yixuan Tang +1
Text embedding models are widely used in natural language processing applications. However, their capability is often benchmarked on tasks that do not require understanding nuanced…