3 papers
math.OC2026
Learning to Optimize at Scale: A Benders Decomposition-TransfORmers Framework for Stochastic Combinatorial Optimization
Seung Jin Choi, Kimiya Jozani, Josh Cooper +1
We propose a learning-augmented Benders decomposition framework to solve large-scale two-stage stochastic mixed-integer programs. We focus on the two-stage stochastic capacitated l…
stat.AP2025
Quantifying Fire Risk Index in Chemical Industry Using Statistical Modeling Procedure
Hyewon Jung, Seungil Ahn, Seungho Choi +1
Fire incident reports contain detailed textual narratives that capture causal factors often overlooked in structured records, while financial damage amounts provide measurable outc…
cs.CL2025
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
Seungho Choi
Large language models (LLMs) often show poor performance in low-resource languages like Korean, partly due to unique linguistic challenges such as homophonous Sino-Korean words tha…