LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation

Nov 9, 2024ยท
Hanming Li
,
Jifan Yu
,
Ruimiao Li
,
Zhanxin Hao
,
Yan Xuan
,
Jiaxi Yuan
,
Bin Xu
,
Juanzi Li
,
Zhiyuan Liu
ยท 0 min read
Abstract
Semi-structured interviews are a crucial method of data acquisition in qualitative research. Typically controlled by the interviewer, the process progresses through a question-and-answer format, aimed at eliciting information from the interviewee. However, interviews are highly time-consuming and demand considerable experience of the interviewers, which greatly limits the efficiency and feasibility of data collection. Therefore, we introduce LM-Interview, a novel system designed to automate the process of preparing, conducting and analyzing semi-structured interviews. Experimental results demonstrate that LM-interview achieves performance comparable to that of skilled human interviewers.
Type
Publication
In 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations