activity
20242026
most citedLLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education

19 citations · 20 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Llama-Polya: Instruction Tuning for Large Language Model based on Polya's Problem-solving

Unggi Lee, Yeil Jeong, Chohui Lee +4

This paper introduces Llama-Polya, an instruction-tuned large language model that integrates Polya's four-step problem-solving framework into its dialogue structure to support math…

cs.CY2026

Exploring the Role of Automated Feedback in Programming Education: A Systematic Literature Review

Yeonji Jung, Yunseo Lee, Jiyeong Bae +4

Automated feedback systems have become increasingly integral to programming education, where learners engage in iterative cycles of code construction, testing, and refinement. Desp…

cs.HC2025

Affordances of Sketched Notations for Multimodal UI Design and Development Tools

Sam H. Ross, Yunseo Lee, Coco K. Lee +2

Multimodal UI design and development tools that interpret sketches or natural language descriptions of UIs inherently have notations: the inputs they can understand. In AI-based sy…

cs.SE2025

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges

Yunseo Lee, John Youngeun Song, Dongsun Kim +3

Recent technical breakthroughs in large language models (LLMs) have enabled them to fluently generate source code. Software developers often leverage both general-purpose and code-…

cs.AI2025

Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards

Jaeho Kim, Yunseok Lee, Seulki Lee

The peer review process in major artificial intelligence (AI) conferences faces unprecedented challenges with the surge of paper submissions (exceeding 10,000 submissions per venue…

cs.HC2025

Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students

Unggi Lee, Hansung Kim, Juhong Eom +9

Autistic students often face challenges in social interaction, which can hinder their educational and personal development. This study introduces Echo-Teddy, a Large Language Model…

cs.HC2024★ 1 cited

I See You: Teacher Analytics with GPT-4 Vision-Powered Observational Assessment

Unggi Lee, Yeil Jeong, Junbo Koh +7

This preliminary study explores the integration of GPT-4 Vision (GPT-4V) technology into teacher analytics, focusing on its applicability in observational assessment to enhance ref…

cs.AI2024★ 19 cited

LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education

Unggi Lee, Minji Jeon, Yunseo Lee +5

Despite the development of various AI systems to support learning in various domains, AI assistance for art appreciation education has not been extensively explored. Art appreciati…