3 papers
cs.AI2026
EVOL: Simulator-Guided Evolutionary Expert Synthesis for Deployment-Free Learning Path Recommendation
Geonwoo Bang, Dongho Kim, Moohong Min
Reinforcement learning (RL) for learning path recommendation (LPR) faces two coupled obstacles. First, the policy must commit to a sequence of L concepts without intermediate feedb…
cs.HC2026
SNAP: A Plan-Driven Framework for Controllable Interactive Narrative Generation
Geonwoo Bang, DongMyung Kim, Hayoung Oh
Large Language Models (LLMs) hold great potential for web-based interactive applications, including browser games, online education, and digital storytelling platforms. However, LL…
cs.IR2026
Transforming User Defined Criteria into Explainable Indicators with an Integrated LLM AHP System
Geonwoo Bang, Dongho Kim, Moohong Min
Evaluating complex texts across domains requires converting user defined criteria into quantitative, explainable indicators, which is a persistent challenge in search and recommend…