PUBLICATION

The poster image of KnowSim: Evaluating Information Calibration in LLM Assistants with User Simulators that Learn
EMNLP'26

Yoonjoo LeeHyoungwook JinTae Soo KimShaoyang ZhangPhilippe LabanQ. Vera Liao

PaperWebsiteDataset
The poster image of RelianceScope: An Analytical Framework for Examining Students' Reliance on Generative AI Chatbots in Problem SolvingBest Paper
L@S'26Best Paper

Hyoungwook JinMinju YooJieun HanZixin ChenSo Yeon AhnXu Wang

PaperWebsiteSlidesDataset
The poster image of When Scaffolding Breaks: Investigating Student Interaction with LLM-Based Writing Support in Real-Time K-12 EFL ClassroomsBest Paper
CHI'26Best Paper

Junho MyungHyunseung LimHana OhHyoungwook JinNayeon KangSo Yeon AhnHwajung HongAlice OhJuho Kim

PaperDataset
The poster image of When to Give Feedback: Exploring Tradeoffs in the Timing of Design Feedback
C&C'24

Jane L EGrace Yu-Chun YenIsabelle Yan PanGrace LinMingyi LiHyoungwook JinMengyi ChenHaijun XiaSteven P. Dow

PaperWebsite
The poster image of ProcessGallery: An Online Gallery that Highlights Improvements by Principles through Contrasting Pairs of Examples
CSCW'24

Grace Yu-Chun YenJane L EHyoungwook JinMingyi LiGrace LinIsabelle Yan PanSteven P. Dow

Paper

COMING SOON

The poster image of Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work

This project investigates whether large language models (LLMs) can diagnose students’ cognitive skills from handwritten math responses. By introducing the MathCog benchmark and evaluating 16 LLMs, we reveal that even advanced models struggle to infer students' thinking process from fragmented visual and textual cues.

Paper