14 citations · 14 across the 5 of their papers we have counts for
5 papers
IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution
Luanrong Chen, Renzhi Chen, Xinyu Li +3
Large language models (LLMs) have shown promise in generating RTL code from natural-language descriptions, but existing methods remain static and struggle to adapt to evolving desi…
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…
Measuring Sycophancy of Language Models in Multi-turn Dialogues
Jiseung Hong, Grace Byun, Seungone Kim +2
Large Language Models (LLMs) are expected to provide helpful and harmless responses, yet they often exhibit sycophancy--conforming to user beliefs regardless of factual accuracy or…
SIn-NeRF2NeRF: Editing 3D Scenes with Instructions through Segmentation and Inpainting
Jiseung Hong, Changmin Lee, Gyusang Yu
TL;DR Perform 3D object editing selectively by disentangling it from the background scene. Instruct-NeRF2NeRF (in2n) is a promising method that enables editing of 3D scenes compose…
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition
Sungjoo Byun, Jiseung Hong, Sumin Park +5
Named Entity Recognition (NER) plays a pivotal role in medical Natural Language Processing (NLP). Yet, there has not been an open-source medical NER dataset specifically for the Ko…