Exploring Large Language Models in Interviews

Authors

Presenter(s)

Kanishka Kolakaluri

Comments

3:00-4:15, Kennedy Union Ballroom

Files

Description

In this project, we explore the capabilities of Large Language Models (LLMs) in simulating the interviews. In particular, we target the most popular jobs on LinkedIn. Also, we collect the data from the user and the targeted job position. From the collected data, we simulate the interviews in the form of Q&A by using LLMs. By using our self-developed user interface, we tried our system with real users. The feedback is generally positive and it paves way to the future usage of LLMs in interviews.

Publication Date

4-23-2025

Project Designation

Graduate Research

Primary Advisor

Tam Nguyen

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium, College of Arts and Sciences

Institutional Learning Goals

Vocation; Practical Wisdom; Community

Recommended Citation

"Exploring Large Language Models in Interviews" (2025). Stander Symposium Projects. 3896.
https://ecommons.udayton.edu/stander_posters/3896