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20232026
most citedFacilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning

3 citations · 4 across the 19 of their papers we have counts for

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9 papers · 1 filter

cs.CL2025

Difficulty-Controllable Cloze Question Distractor Generation

Seokhoon Kang, Yejin Jeon, Seonjeong Hwang +1

Multiple-choice cloze questions are commonly used to assess linguistic proficiency and comprehension. However, generating high-quality distractors remains challenging, as existing…

cs.AI2025

PanicToCalm: A Proactive Counseling Agent for Panic Attacks

Jihyun Lee, Yejin Min, San Kim +4

Panic attacks are acute episodes of fear and distress, in which timely, appropriate intervention can significantly help individuals regain stability. However, suitable datasets for…

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.SD2025

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis

Yejin Jeon, Youngjae Kim, Jihyun Lee +2

For individuals who have experienced traumatic events such as strokes, speech may no longer be a viable means of communication. While text-to-speech (TTS) can be used as a communic…

cs.CL2025

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection

San Kim, Jonghwi Kim, Yejin Jeon +1

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by providing external knowledge for accurate and up-to-date responses. However, this reliance on external…

cs.CL2025

EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance

Heejae Suh, Yejin Jeon, Deokhyung Kang +3

Small large language models (sLLMs) offer the advantage of being lightweight and efficient, which makes them suitable for resource-constrained environments. However, sLLMs often st…

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.CL2025

Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation

Deokhyung Kang, Jeonghun Cho, Yejin Jeon +4

Visual programming languages (VPLs) allow users to create programs through graphical interfaces, which results in easier accessibility and their widespread usage in various domains…