1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Efficient and Accurate Memorable Conversation Model using DPO based on sLLM
Youngkyung Seo, Yoonseok Heo, Jun-Seok Koh +1
In multi-session dialog system, it is essential to continuously update the memory as the session progresses. Simply accumulating memory can make it difficult to focus on the conten…
cs.CL2024★ 1 cited
Enhancing Psychotherapy Counseling: A Data Augmentation Pipeline Leveraging Large Language Models for Counseling Conversations
Jun-Woo Kim, Ji-Eun Han, Jun-Seok Koh +2
We introduce a pipeline that leverages Large Language Models (LLMs) to transform single-turn psychotherapy counseling sessions into multi-turn interactions. While AI-supported onli…
cs.CL2024
PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models
Ji-Eun Han, Jun-Seok Koh, Hyeon-Tae Seo +2
We present a novel end-to-end personality-based synthetic dialogue data generation pipeline, specifically designed to elicit responses from large language models via prompting. We…