6 citations · 8 across the 6 of their papers we have counts for
6 papers
Code Monitor Red Teaming for Public-Test-Passing Code
Junchi Liao, Jiawen Deng, Fuji Ren
Visible tests are a common gate for LLM-generated code, but passing them does not certify specification correctness. We study a deployment-like monitoring problem: after code has p…
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
Tingting Liu, Salvatore Giorgi, Ankit Aich +4
As AI chatbots increasingly incorporate empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explo…
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity
Xiaoyu Lin, Xinkai Yu, Ankit Aich +2
Large Language Models (LLMs), which simulate human users, are frequently employed to evaluate chatbots in applications such as tutoring and customer service. Effective evaluation n…
Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia
Ankit Aich, Avery Quynh, Pamela Osseyi +5
NLP in mental health has been primarily social media focused. Real world practitioners also have high case loads and often domain specific variables, of which modern LLMs lack cont…
Vernacular? I Barely Know Her: Challenges with Style Control and Stereotyping
Ankit Aich, Tingting Liu, Salvatore Giorgi +3
Large Language Models (LLMs) are increasingly being used in educational and learning applications. Research has demonstrated that controlling for style, to fit the needs of the lea…
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas
Salvatore Giorgi, Tingting Liu, Ankit Aich +6
Large language models (LLMs) are increasingly being used in human-centered social scientific tasks, such as data annotation, synthetic data creation, and engaging in dialog. Howeve…