1 citations · 1 across the 10 of their papers we have counts for
10 papers
ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation
JooYoung Jang, Taegyeong Lee, Jihyeon Park +1
Commercial design platforms increasingly edit documents through large language model (LLM) agents, but two practical problems block reliable deployment: legacy document formats exp…
Beyond One Path: Evaluating and Enhancing Divergent Thinking in Interactive LLM Agents
Jihyeong Park, Ingeol Baek, Jeonghyun Park +1
Divergent thinking is a core dimension of creativity, yet existing evaluations of Large Language Models (LLMs) treat them as single-turn text generations, failing to capture how an…
ReFeed: Retrieval Feedback-Guided Dataset Construction for Style-Aware Query Rewriting
Jiyoon Myung, Jungki Son, Kyungro Lee +2
Retrieval systems often fail when user queries differ stylistically or semantically from the language used in domain documents. Query rewriting has been proposed to bridge this gap…
Identifying and Mitigating Bottlenecks in Role-Playing Agents: A Systematic Study of Disentangling Character Profile Axes
Yonghyun Jun, Junhyuk Choi, Jeonghyun Park +3
While Large Language Model (LLM) role-playing agents have advanced rapidly, it remains unclear which profile elements genuinely drive role-playing quality. To bridge this gap, we i…
Decomate: Leveraging Generative Models for Co-Creative SVG Animation
Jihyeon Park, Jiyoon Myung, Seone Shin +2
Designers often encounter friction when animating static SVG graphics, especially when the visual structure does not match the desired level of motion detail. Existing tools typica…
HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data
Jiyoon Myung, Jihyeon Park, Joohyung Han
User queries in real-world recommendation systems often combine structured constraints (e.g., category, attributes) with unstructured preferences (e.g., product descriptions or rev…
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models
L'ea Dubois, Klaus Schmidt, Chengyu Wang +3
Current video understanding models excel at recognizing "what" is happening but fall short in high-level cognitive tasks like causal reasoning and future prediction, a limitation r…
VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM
Jeongwoo Lee, Kwangsuk Park, Jihyeon Park
Generating accurate and consistent visual aids is a critical challenge in mathematics education, where visual representations like geometric shapes and functions play a pivotal rol…
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation
Jiyoon Myung, Jihyeon Park, Jungki Son +2
This paper addresses the challenge of accurately translating technical terms, which are crucial for clear communication in specialized fields. We introduce the Parenthetical Termin…
Inpaint Biases: A Pathway to Accurate and Unbiased Image Generation
Jiyoon Myung, Jihyeon Park
This paper examines the limitations of advanced text-to-image models in accurately rendering unconventional concepts which are scarcely represented or absent in their training data…