3 papers
cs.AI2026
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…
cs.CL2024
SLM as Guardian: Pioneering AI Safety with Small Language Models
Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi +6
Most prior safety research of large language models (LLMs) has focused on enhancing the alignment of LLMs to better suit the safety requirements of humans. However, internalizing s…
cs.IR2024
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search
Hwiyeol Jo, Taiwoo Park, Hyunwoo Lee +10
Although there has been a growing interest among industries in integrating generative LLMs into their services, limited experience and scarcity of resources act as a barrier in lau…