Eight papers conditionally accepted to CHI 2024

Eight papers from KIXLAB have been conditionally accepted to CHI 2024.

CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI DaEun Choi, Sumin Hong, Jeongeon Park, John Joon Young Chung, Juho Kim

GenQuery: Supporting Expressive Visual Search with Generative Models Kihoon Son, DaEun Choi, Tae Soo Kim, Young-Ho Kim, Juho Kim

“Teach AI How to Code”: Using Large Language Models as Teachable Agents for Programming Education Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria Tae Soo Kim, Yoonjoo Lee, Jamin Shin, Young-Ho Kim, Juho Kim

VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos Seulgi Choi, Hyewon Lee, Yoonjoo Lee, Juho Kim.

Demystifying Tacit Knowledge in Graphic Design: Characteristics, Instances, Approaches, and Guidelines Kihoon Son, DaEun Choi, Tae Soo Kim, Juho Kim.

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models Hyung-Kwon Ko, Hyeon Jeon, Gwanmo Park, Dae Hyun Kim, Nam Wook Kim, Juho Kim, Jinwook Seo

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers Yoonjoo Lee, Hyeonsu B Kang, Matt Latzke, Juho Kim, Jonathan Bragg, Joseph Chee Chang, Pao Siangliulue.

Saelyne also has her Autodesk internship paper accepted: AQuA: Automated Question-Answering in Software Tutorial Videos with Visual Anchors