1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
Leveraging Large Language Models for Cost-Effective, Multilingual Depression Detection and Severity Assessment
Longdi Xian, Jianzhang Ni, Mingzhu Wang
Depression is a prevalent mental health disorder that is difficult to detect early due to subjective symptom assessments. Recent advancements in large language models have offered…
cs.IR2024★ 1 cited
Redefining Information Retrieval of Structured Database via Large Language Models
Mingzhu Wang, Yuzhe Zhang, Qihang Zhao +2
Retrieval augmentation is critical when Language Models (LMs) exploit non-parametric knowledge related to the query through external knowledge bases before reasoning. The retrieved…
cs.CY2022
Coronavirus statistics causes emotional bias: a social media text mining perspective
Linjiang Guo, Zijian Feng, Yuxue Chi +2
While COVID-19 has impacted humans for a long time, people search the web for pandemic-related information, causing anxiety. From a theoretic perspective, previous studies have con…