7 citations · 15 across the 24 of their papers we have counts for
5 papers · 1 filter
Self-Training Meets Consistency: Improving LLMs' Reasoning with Consistency-Driven Rationale Evaluation
Jaehyeok Lee, Keisuke Sakaguchi, JinYeong Bak
Self-training approach for large language models (LLMs) improves reasoning abilities by training the models on their self-generated rationales. Previous approaches have labeled rat…
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
Heeyoung Lee, Hoyoon Byun, Changdae Oh +2
Accessing machine learning models through remote APIs has been gaining prevalence following the recent trend of scaling up model parameters for increased performance. Even though t…
KpopMT: Translation Dataset with Terminology for Kpop Fandom
JiWoo Kim, Yunsu Kim, JinYeong Bak
While machines learn from existing corpora, humans have the unique capability to establish and accept new language systems. This makes human form unique language systems within soc…
MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
Yeonji Lee, Sangjun Park, Kyunghyun Cho +1
As mental health issues globally escalate, there is a tremendous need for advanced digital support systems. We introduce MentalAgora, a novel framework employing large language mod…
Harmful Suicide Content Detection
Kyumin Park, Myung Jae Baik, YeongJun Hwang +13
Harmful suicide content on the Internet is a significant risk factor inducing suicidal thoughts and behaviors among vulnerable populations. Despite global efforts, existing resourc…