361 citations · 371 across the 10 of their papers we have counts for
3 papers · 1 filter
DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues
David Q. Sun, Artem Abzaliev, Hadas Kotek +3
Controversy is a reflection of our zeitgeist, and an important aspect to any discourse. The rise of large language models (LLMs) as conversational systems has increased public reli…
Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Q. Sun
Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' behavi…
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Zidi Xiu, Kai-Chen Cheng, David Q. Sun +7
With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedba…