Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling

no code implementations • 12 Nov 2023 • Yujin Cho, Mingeon Kim, Seojin Kim, Oyun Kwon, Ryan Donghan Kwon, Yoonha Lee, Dohyun Lim

This study investigates the efficacy of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents.

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations

no code implementations • 8 Nov 2023 • Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park

Long-term time series forecasting (LTSF) is a challenging task that has been investigated in various domains such as finance investment, health care, traffic, and weather forecasting.

Time Series Time Series Forecasting +1

Confidence-aware Training of Smoothed Classifiers for Certified Robustness

1 code implementation • 18 Dec 2022 • Jongheon Jeong, Seojin Kim, Jinwoo Shin

Under the smoothed classifiers, the fundamental trade-off between accuracy and (adversarial) robustness has been well evidenced in the literature: i. e., increasing the robustness of a classifier for an input can be at the expense of decreased accuracy for some other inputs.

Adversarial Robustness