1 citations · 1 across the 7 of their papers we have counts for
7 papers
E-SENS: Exclusion-Sensitive Penalization for Negative-Constraint Retrieval
Yerang Kim, Jiyoon Myung, Joohyung Han
Retrieval-augmented language models can fail to respect negative constraints when the retriever supplies evidence about concepts the user explicitly excluded. Beyond explicit negat…
Quantifying Conversational Reliability of Large Language Models under Multi-Turn Interaction
Jiyoon Myung
Large Language Models (LLMs) are increasingly deployed in real-world applications where users engage in extended, mixed-topic conversations that depend on prior context. Yet, their…
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…
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…
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…