1 citations · 1 across the 4 of their papers we have counts for
4 papers
Why Are Some Emotions Harder for LLMs? Uncovering the Causal Mechanisms of Emotion Inference via Sparse Autoencoders
Bangzhao Shu, Arinjay Singh, Mai ElSherief
Large language models (LLMs) are increasingly used in emotionally sensitive human-AI applications, where reliable emotion detection is essential. However, their emotion recognition…
"He gets to be the fun parent": Understanding and Supporting Burnt-Out Mothers in Online Communities
Nazanin Sabri, Ananya Malik, Bangzhao Shu +3
Maternal burnout is a psychological phenomena with documented harms to both mother and child, requiring prompt attention. Mothers experiencing burnout might choose to turn to onlin…
Fluent but Unfeeling: The Emotional Blind Spots of Language Models
Bangzhao Shu, Isha Joshi, Melissa Karnaze +5
The versatility of Large Language Models (LLMs) in natural language understanding has made them increasingly popular in mental health research. While many studies explore LLMs' cap…
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
Bangzhao Shu, Lechen Zhang, Minje Choi +5
The versatility of Large Language Models (LLMs) on natural language understanding tasks has made them popular for research in social sciences. To properly understand the properties…