3 papers
quant-ph2026
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Nayoung Lee, Minsoo Shin, Asel Sagingalieva +5
Accurate prediction and stabilization of blast furnace temperatures are crucial for optimizing the efficiency and productivity of steel production. Traditional methods often strugg…
cs.CL2025
Extrapolation by Association: Length Generalization Transfer in Transformers
Ziyang Cai, Nayoung Lee, Avi Schwarzschild +2
Transformer language models have demonstrated impressive generalization capabilities in natural language domains, yet we lack a fine-grained understanding of how such generalizatio…
cs.LG2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee, Ziyang Cai, Avi Schwarzschild +2
Large language models often struggle with length generalization and solving complex problem instances beyond their training distribution. We present a self-improvement approach whe…