140 citations · 563 across the 18 of their papers we have counts for
5 papers · 1 filter
Understanding the Role of Temperature in Diverse Question Generation by GPT-4
Arav Agarwal, Karthik Mittal, Aidan Doyle +5
We conduct a preliminary study of the effect of GPT's temperature parameter on the diversity of GPT4-generated questions. We find that using higher temperature values leads to sign…
Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?
Jaromir Savelka, Kevin D. Ashley, Morgan A Gray +2
We evaluated the capability of generative pre-trained transformers~(GPT-4) in analysis of textual data in tasks that require highly specialized domain expertise. Specifically, we f…
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
Jaromir Savelka, Arav Agarwal, Christopher Bogart +1
We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code,…
Expressing Ethnicity through Behaviors of a Robot Character
Maxim Makatchev, Reid Simmons, Majd Sakr +1
Achieving homophily, or association based on similarity, between a human user and a robot holds a promise of improved perception and task performance. However, no previous studies…
A Cross-cultural Corpus of Annotated Verbal and Nonverbal Behaviors in Receptionist Encounters
Maxim Makatchev, Reid Simmons, Majd Sakr
We present the first annotated corpus of nonverbal behaviors in receptionist interactions, and the first nonverbal corpus (excluding the original video and audio data) of service e…