
Exploring Large Language Models in Interviews
Presenter(s)
Kanishka Kolakaluri
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

Comments
3:00-4:15, Kennedy Union Ballroom