19 citations · 29 across the 26 of their papers we have counts for
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cs.AI2026
BuddyBench: A Privacy-Constrained Multi-Task Benchmark for Pediatric Social-Communication Personalization
Jeyeon Eo, Joo Young Kim, Ran Ju +2
BuddyBench introduces a privacy-constrained multi-task benchmark for pediatric social-communication personalization. Unlike existing neurodevelopmental repositories that primarily…
cs.AI2025★ 1 cited
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae +6
Recent advances in large reasoning models (LRMs) show strong performance in structured domains such as mathematics and programming; however, they often lack pedagogical coherence a…
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…