activity
20242026
most citedFacilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

PSY-STEP: Structuring Therapeutic Targets and Action Sequences for Proactive Counseling Dialogue Systems

Jihyun Lee, Yejin Min, Yejin Jeon +3

Cognitive Behavioral Therapy (CBT) aims to identify and restructure automatic negative thoughts pertaining to involuntary interpretations of events, yet existing counseling agents…

cs.SD2025★ 3 cited

Facilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning

Yejin Jeon, Solee Im, Youngjae Kim +1

Dysarthric speakers experience substantial communication challenges due to impaired motor control of the speech apparatus, which leads to reduced speech intelligibility. This creat…

cs.CL2025

PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona

Jihyun Lee, Yejin Jeon, Seungyeon Seo +1

Task-Oriented Dialogue (TOD) systems are designed to fulfill user requests through natural language interactions, yet existing systems often produce generic, monotonic responses th…

cs.CV2025

MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance

Subin Kim, Hoonrae Kim, Jihyun Lee +2

Recent studies have explored the use of large language models (LLMs) in psychotherapy; however, text-based cognitive behavioral therapy (CBT) models often struggle with client resi…

cs.CL2024

Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT

Jihyun Lee, Gary Geunbae Lee

Traditional dialogue state tracking approaches heavily rely on extensive training data and handcrafted features, limiting their scalability and adaptability to new domains. In this…

cs.CL2024

Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking

Jihyun Lee, Solee Im, Wonjun Lee +1

Dialogue State Tracking (DST) is a key part of task-oriented dialogue systems, identifying important information in conversations. However, its accuracy drops significantly in spok…