A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

NeurIPSSpotlight2025

Authors
Jitai Hao, Qiang Huang, Hao Liu, Xinyan Xiao, Zhaochun Ren, Jun Yu
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Training high-performing Small Language Models (SLMs) remains computationally expensive, even with knowledge distillation and pruning from larger teacher models…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

language model distillation efficient

← All NeurIPS 2025 Spotlight papers · Browse the whole archive