most citedExplore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2023

Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models

Seungcheol Park, Hojun Choi, U Kang

Given a pretrained encoder-based language model, how can we accurately compress it without retraining? Retraining-free structured pruning algorithms are crucial in pretrained langu…