4 papers indexed
This dataset is designed for long-time temperature-field prediction in single-track directed energy deposition. The data were generated from high-fidelity thermo-fluid simulations in FLOW-3D AM and include 36 stainless-steel Fe 316 single-track DED cases. The cases form a structu…
This dataset is designed for long-time temperature-field prediction in single-track directed energy deposition. The data were generated from high-fidelity thermo-fluid simulations in FLOW-3D AM and include 36 stainless-steel Fe 316 single-track DED cases. The cases form a structu…
Huaqing Zhang, Jingchu Gai, Juno Kim, Bingbin Liu, Andrej Risteski
Online imitation learning (IL), particularly on-policy distillation, has emerged as a strong LLM post-training approach, often outperforming offline supervised fine-tuning (SFT). Yet a principled understanding of when and why online interaction helps remains unclear. In this work…
Zaiwen Yang, Huaqing Zhang, Jing Xu, Jingzhao Zhang
Learning-rate transfer can reduce the cost of training large language models: instead of sweeping learning rates at target scale, practitioners extrapolate from smaller runs. Existing approaches often assume that the optimal learning rate follows a log-linear scaling law in data…