5 citations · 6 across the 7 of their papers we have counts for
9 papers
Search-Aware Reinforcement Learning for Multi-Component Query Understanding in Roblox Game Search
Nayoung Choi, Shengjian Chen, Xiaokai Wei +6
Query understanding (QU) plays a critical role in production search systems, translating raw user queries into search execution plans that drive downstream retrieval and ranking. W…
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…
Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling
Nayoung Choi, Jiseung Hong, Peace Cyebukayire +2
Conversational AI agents are increasingly explored as creative partners, yet how conversation design shapes child-AI dialogue in co-creative settings remains underexplored. We pres…
Tinker Tales: Interactive Storytelling Framework for Early Childhood Narrative Development and AI Literacy
Nayoung Choi, Peace Cyebukayire, Jinho D. Choi
This paper presents Tinker Tales, an interactive storytelling framework in the format of a board game, designed to support both narrative development and AI literacy in early child…
Reference-Aligned Retrieval-Augmented Question Answering over Heterogeneous Proprietary Documents
Nayoung Choi, Grace Byun, Andrew Chung +3
Proprietary corporate documents contain rich domain-specific knowledge, but their overwhelming volume and disorganized structure make it difficult even for employees to access the…
RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho +10
Large Language Models (LLMs) excel at understanding the semantic relationships between queries and documents, even with lengthy and complex long-tail queries. These queries are cha…
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…
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…
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection
Nayoung Choi
Contextual word embeddings obtained from pre-trained language model (PLM) have proven effective for various natural language processing tasks at the word level. However, interpreti…