2 papers
cs.RO2025
Distilling Realizable Students from Unrealizable Teachers
Yujin Kim, Nathaniel Chin, Arnav Vasudev +1
We study policy distillation under privileged information, where a student policy with only partial observations must learn from a teacher with full-state access. A key challenge i…
cs.CL2023
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models
Jongwoo Ko, Seungjoon Park, Yujin Kim +4
Structured pruning methods have proven effective in reducing the model size and accelerating inference speed in various network architectures such as Transformers. Despite the vers…