1 citations · 1 across the 5 of their papers we have counts for
6 papers
What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectors
Winston Zeng, Ali Emami, Jinho D. Choi
What a language model will and will not do is largely set during post-training, but which behaviors it expresses, hides, or resists is not revealed by prompting alone. Persona vect…
Hierarchical Multi-Persona Induction from User Behavioral Logs: Learning Evidence-Grounded and Truthful Personas
Nayoung Choi, Haeyu Jeong, Changbong Kim +2
Behavioral logs provide rich signals for user modeling, but are noisy and interleaved across diverse intents. Recent work uses LLMs to generate interpretable natural-language perso…
Designing and Evaluating a Conversational Agent for Early Diagnosis of Alzheimer's Disease and Related Dementias
Andrew G. Breithaupt, Nayoung Choi, James D. Finch +5
Early diagnosis of Alzheimer's disease and related dementias (ADRD) is critical for timely intervention, yet most diagnoses are delayed until advanced stages. While comprehensive p…
Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions
James D. Finch, Yasasvi Josyula, Jinho D. Choi
In task-oriented dialogue (TOD) systems, Slot Schema Induction (SSI) is essential for automatically identifying key information slots from dialogue data without manual intervention…
Transforming Slot Schema Induction with Generative Dialogue State Inference
James D. Finch, Boxin Zhao, Jinho D. Choi
The challenge of defining a slot schema to represent the state of a task-oriented dialogue system is addressed by Slot Schema Induction (SSI), which aims to automatically induce sl…
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
James D. Finch, Jinho D. Choi
We demonstrate substantial performance gains in zero-shot dialogue state tracking (DST) by enhancing training data diversity through synthetic data generation. Existing DST dataset…