2 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models
Dongjun Kang, Joonsuk Park, Yohan Jo +1
Being able to predict people's opinions on issues and behaviors in realistic scenarios can be helpful in various domains, such as politics and marketing. However, conducting large-…
Diversity Enhanced Narrative Question Generation for Storybooks
Hokeun Yoon, JinYeong Bak
Question generation (QG) from a given context can enhance comprehension, engagement, assessment, and overall efficacy in learning or conversational environments. Despite recent adv…